{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import shutil\n",
    "import tensorflow as tf\n",
    "import PIL.Image\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# www.kaggle.com/c/dogs-vs-cats/data\n",
    "Download dataset from link above"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "original_dataset_dir = \"train\"      # jis folders mai sare pics hai name ke sath"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "base_dir = 'cats_and_dogs_small' \n",
    "os.mkdir(base_dir)                          # created new empty folder in current directory\n",
    "train_dir = os.path.join(base_dir, 'train')\n",
    "os.mkdir(train_dir)                         # us folder ke ander train ka folder banaya\n",
    "validation_dir = os.path.join(base_dir, 'validation')\n",
    "os.mkdir(validation_dir)                    # and so on\n",
    "test_dir = os.path.join(base_dir, 'test')\n",
    "os.mkdir(test_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_cats_dir = os.path.join(train_dir, 'cats') \n",
    "os.mkdir(train_cats_dir)                   # cat ka folder banaya train ke ander\n",
    "train_dogs_dir = os.path.join(train_dir, 'dogs')\n",
    "os.mkdir(train_dogs_dir)                   # dog ka folder banaya train ke ander\n",
    "\n",
    "test_cats_dir = os.path.join(test_dir, 'cats')\n",
    "os.mkdir(test_cats_dir)                    # cat ka folder banaya test ke ander\n",
    "test_dogs_dir = os.path.join(test_dir, 'dogs')\n",
    "os.mkdir(test_dogs_dir)                    # dog ka folder banaya test ke ander\n",
    "\n",
    "validation_cats_dir = os.path.join(validation_dir, 'cats')\n",
    "os.mkdir(validation_cats_dir)               # cat ka folder banaya validation ke ander\n",
    "validation_dogs_dir = os.path.join(validation_dir, 'dogs')\n",
    "os.mkdir(validation_dogs_dir)               # dog ka folder banaya validation ke ander"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# we only created empty folders in above coding\n",
    "# os.mkdir se new folder bante hai bake folder names ya path hai\n",
    "# Now we are going to copy files in those folders"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "fnames = []\n",
    "for i in range(1000):              # created names, not files, same as in orignal files name\n",
    "    a = 'cat.{}.jpg'.format(i)\n",
    "    fnames.append(a)\n",
    "for x in fnames:                   # copying cats pics in empty train folder\n",
    "    src = os.path.join(original_dataset_dir, x)\n",
    "    dst = os.path.join(train_cats_dir, x)\n",
    "    shutil.copyfile(src, dst)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "fnames = []\n",
    "for i in range(1000, 1500):              # created names, not files, same as in orignal files name\n",
    "    a = 'cat.{}.jpg'.format(i)\n",
    "    fnames.append(a)\n",
    "for x in fnames:                        # copying cats pics in empty validation folder\n",
    "    src = os.path.join(original_dataset_dir, x)\n",
    "    dst = os.path.join(validation_cats_dir, x)\n",
    "    shutil.copyfile(src, dst)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "fnames = []\n",
    "for i in range(1500, 2000):              # created names, not files, same as in orignal files name\n",
    "    a = 'cat.{}.jpg'.format(i)\n",
    "    fnames.append(a)\n",
    "for x in fnames:                         # copying cats pics in empty test folder\n",
    "    src = os.path.join(original_dataset_dir, x)\n",
    "    dst = os.path.join(test_cats_dir, x)\n",
    "    shutil.copyfile(src, dst)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# above copied 1000 train, 500 test $ 500 validation cats pictures\n",
    "# now doing same for dogs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "fnames = []\n",
    "for i in range(1000):              # created names, not files, same as in orignal files name\n",
    "    a = 'dog.{}.jpg'.format(i)\n",
    "    fnames.append(a)\n",
    "for x in fnames:                   # copying dogs pics in empty train folder\n",
    "    src = os.path.join(original_dataset_dir, x)\n",
    "    dst = os.path.join(train_dogs_dir, x)\n",
    "    shutil.copyfile(src, dst)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "fnames = []\n",
    "for i in range(1000, 1500):              # created names, not files, same as in orignal files name\n",
    "    a = 'dog.{}.jpg'.format(i)\n",
    "    fnames.append(a)\n",
    "for x in fnames:                        # copying dogs pics in empty validation folder\n",
    "    src = os.path.join(original_dataset_dir, x)\n",
    "    dst = os.path.join(validation_dogs_dir, x)\n",
    "    shutil.copyfile(src, dst)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "fnames = []\n",
    "for i in range(1500, 2000):              # created names, not files, same as in orignal files name\n",
    "    a = 'dog.{}.jpg'.format(i)\n",
    "    fnames.append(a)\n",
    "for x in fnames:                         # copying dogs pics in empty test folder\n",
    "    src = os.path.join(original_dataset_dir, x)\n",
    "    dst = os.path.join(test_dogs_dir, x)\n",
    "    shutil.copyfile(src, dst)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# First model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d (Conv2D)              (None, 148, 148, 32)      896       \n",
      "_________________________________________________________________\n",
      "max_pooling2d (MaxPooling2D) (None, 74, 74, 32)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_1 (Conv2D)            (None, 72, 72, 64)        18496     \n",
      "_________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2 (None, 36, 36, 64)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_2 (Conv2D)            (None, 34, 34, 128)       73856     \n",
      "_________________________________________________________________\n",
      "max_pooling2d_2 (MaxPooling2 (None, 17, 17, 128)       0         \n",
      "_________________________________________________________________\n",
      "conv2d_3 (Conv2D)            (None, 15, 15, 128)       147584    \n",
      "_________________________________________________________________\n",
      "max_pooling2d_3 (MaxPooling2 (None, 7, 7, 128)         0         \n",
      "_________________________________________________________________\n",
      "flatten (Flatten)            (None, 6272)              0         \n",
      "_________________________________________________________________\n",
      "dense (Dense)                (None, 512)               3211776   \n",
      "_________________________________________________________________\n",
      "dense_1 (Dense)              (None, 1)                 513       \n",
      "=================================================================\n",
      "Total params: 3,453,121\n",
      "Trainable params: 3,453,121\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "models = tf.keras.Sequential\n",
    "layers = tf.keras.layers\n",
    "\n",
    "model = models([layers.Conv2D(32, (3, 3), activation='relu', input_shape=(150, 150, 3)),\n",
    "                layers.MaxPooling2D((2, 2)),\n",
    "                layers.Conv2D(64, (3, 3), activation='relu'),\n",
    "                layers.MaxPooling2D((2, 2)),\n",
    "                layers.Conv2D(128, (3, 3), activation='relu'),\n",
    "                layers.MaxPooling2D((2, 2)),\n",
    "                layers.Conv2D(128, (3, 3), activation='relu'),\n",
    "                layers.MaxPooling2D((2, 2)),\n",
    "                layers.Flatten(),\n",
    "                layers.Dense(512, activation='relu'),\n",
    "                layers.Dense(1, activation='sigmoid')])\n",
    "\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras import optimizers\n",
    "\n",
    "model.compile(optimizer=optimizers.RMSprop(lr=1e-4),\n",
    "              loss='binary_crossentropy',\n",
    "              metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Normalizing Data\n",
    "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
    "train_datagen = ImageDataGenerator(rescale=1./255)\n",
    "test_datagen = ImageDataGenerator(rescale=1./255)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 2000 images belonging to 2 classes.\n"
     ]
    }
   ],
   "source": [
    "# reshaping training images\n",
    "train_generator = train_datagen.flow_from_directory(\n",
    "                  train_dir,target_size=(150, 150),\n",
    "                  batch_size=20,class_mode='binary') # binary create labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 1000 images belonging to 2 classes.\n"
     ]
    }
   ],
   "source": [
    "# reshaping validation images\n",
    "validation_generator = test_datagen.flow_from_directory(\n",
    "                       validation_dir,target_size=(150, 150),\n",
    "                       batch_size=20,class_mode='binary')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 1000 images belonging to 2 classes.\n"
     ]
    }
   ],
   "source": [
    "# reshaping training images\n",
    "test_generator =  train_datagen.flow_from_directory(\n",
    "                  test_dir,target_size=(150, 150),\n",
    "                  batch_size=20,class_mode='binary')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "10/10 [==============================] - 24s 2s/step - loss: 0.7033 - accuracy: 0.4900 - val_loss: 0.6908 - val_accuracy: 0.5010\n",
      "Epoch 2/20\n",
      "10/10 [==============================] - 23s 2s/step - loss: 0.6857 - accuracy: 0.5400 - val_loss: 0.7087 - val_accuracy: 0.5000\n",
      "Epoch 3/20\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.7122 - accuracy: 0.4900 - val_loss: 0.6903 - val_accuracy: 0.5450\n",
      "Epoch 4/20\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6903 - accuracy: 0.5100 - val_loss: 0.6868 - val_accuracy: 0.6160\n",
      "Epoch 5/20\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6885 - accuracy: 0.5800 - val_loss: 0.6892 - val_accuracy: 0.5000\n",
      "Epoch 6/20\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6941 - accuracy: 0.4950 - val_loss: 0.6855 - val_accuracy: 0.5870\n",
      "Epoch 7/20\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6873 - accuracy: 0.5150 - val_loss: 0.6927 - val_accuracy: 0.5020\n",
      "Epoch 8/20\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6847 - accuracy: 0.5500 - val_loss: 0.6799 - val_accuracy: 0.6410\n",
      "Epoch 9/20\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6800 - accuracy: 0.5500 - val_loss: 0.6933 - val_accuracy: 0.5000\n",
      "Epoch 10/20\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6833 - accuracy: 0.5550 - val_loss: 0.6927 - val_accuracy: 0.5100\n",
      "Epoch 11/20\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6817 - accuracy: 0.5850 - val_loss: 0.6749 - val_accuracy: 0.5270\n",
      "Epoch 12/20\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6762 - accuracy: 0.6050 - val_loss: 0.6684 - val_accuracy: 0.6180\n",
      "Epoch 13/20\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6642 - accuracy: 0.6250 - val_loss: 0.6657 - val_accuracy: 0.6130\n",
      "Epoch 14/20\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6541 - accuracy: 0.6500 - val_loss: 0.6776 - val_accuracy: 0.5460\n",
      "Epoch 15/20\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6457 - accuracy: 0.6150 - val_loss: 0.6521 - val_accuracy: 0.6320\n",
      "Epoch 16/20\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6795 - accuracy: 0.5600 - val_loss: 0.6457 - val_accuracy: 0.6720\n",
      "Epoch 17/20\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6678 - accuracy: 0.5450 - val_loss: 0.6622 - val_accuracy: 0.5890\n",
      "Epoch 18/20\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6424 - accuracy: 0.6050 - val_loss: 0.6503 - val_accuracy: 0.5930\n",
      "Epoch 19/20\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6278 - accuracy: 0.6350 - val_loss: 0.6464 - val_accuracy: 0.6270\n",
      "Epoch 20/20\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6385 - accuracy: 0.6300 - val_loss: 0.6533 - val_accuracy: 0.5790\n"
     ]
    }
   ],
   "source": [
    "epochs = 20 # in book example we did 100 epochs\n",
    "history = model.fit_generator(\n",
    "          train_generator,steps_per_epoch=10,\n",
    "          epochs=epochs,validation_data=validation_generator,\n",
    "          validation_steps=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "#evaluation = model.evaluate_generator(test_generator,steps=None,callbacks=None,max_queue_size=10,\n",
    "#                                      workers=1,use_multiprocessing=False,verbose=0,)\n",
    "#print(\"Loss: \",evaluation[0]*100,\"%\")\n",
    "#print(\"Accuracy: \",evaluation[1]*100,\"%\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['loss', 'accuracy', 'val_loss', 'val_accuracy'])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "history.history.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotting training and validation loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "loss = history.history['loss']\n",
    "val_loss = history.history['val_loss']\n",
    "\n",
    "epochs = range(1, len(loss) + 1)\n",
    "\n",
    "plt.plot(epochs, loss, 'bo', label='Training loss')\n",
    "plt.plot(epochs, val_loss, 'b', label='Validation loss')\n",
    "plt.title('Training and validation loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('Loss')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotting training and validation accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "acc = history.history['accuracy']\n",
    "val_acc = history.history['val_accuracy']\n",
    "\n",
    "epochs = range(1, len(acc) + 1)\n",
    "\n",
    "plt.plot(epochs, acc, 'bo', label='Training acc')\n",
    "plt.plot(epochs, val_acc, 'b', label='Validation acc')\n",
    "plt.title('Training and validation acc')\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('acc')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# saving the model\n",
    "model.save('cats_and_dogs_small_1.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Using data augmentation to create new pictures\n",
    "# because we use very little data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "datagen = ImageDataGenerator(rotation_range=40,width_shift_range=0.2,\n",
    "                             height_shift_range=0.2,shear_range=0.2,\n",
    "                             zoom_range=0.2,horizontal_flip=True,fill_mode='nearest')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Displaying some randomly augmented training images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cats_and_dogs_small\\train\\cats\\cat.100.jpg\n"
     ]
    }
   ],
   "source": [
    "from tensorflow.keras.preprocessing import image\n",
    "fnames = []\n",
    "for i in os.listdir(train_cats_dir):\n",
    "    a = os.path.join(train_cats_dir, i)\n",
    "    fnames.append(a)\n",
    "#fnames have the pictures names with location\n",
    "print(fnames[3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=150x150 at 0x269100FDF08>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# lets show 1 image\n",
    "img_path = fnames[3]\n",
    "img = image.load_img(img_path, target_size=(150, 150))\n",
    "img"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[[222., 223., 218.],\n",
       "         [223., 224., 219.],\n",
       "         [223., 224., 219.],\n",
       "         ...,\n",
       "         [240., 241., 246.],\n",
       "         [234., 235., 240.],\n",
       "         [247., 244., 251.]],\n",
       "\n",
       "        [[219., 220., 215.],\n",
       "         [222., 223., 218.],\n",
       "         [224., 225., 220.],\n",
       "         ...,\n",
       "         [243., 244., 249.],\n",
       "         [234., 235., 240.],\n",
       "         [239., 242., 247.]],\n",
       "\n",
       "        [[226., 227., 222.],\n",
       "         [224., 225., 220.],\n",
       "         [223., 224., 219.],\n",
       "         ...,\n",
       "         [242., 243., 248.],\n",
       "         [241., 242., 247.],\n",
       "         [232., 240., 243.]],\n",
       "\n",
       "        ...,\n",
       "\n",
       "        [[207., 210., 215.],\n",
       "         [207., 213., 213.],\n",
       "         [206., 212., 208.],\n",
       "         ...,\n",
       "         [215., 212., 207.],\n",
       "         [215., 212., 207.],\n",
       "         [217., 212., 209.]],\n",
       "\n",
       "        [[219., 212., 220.],\n",
       "         [211., 209., 212.],\n",
       "         [206., 206., 204.],\n",
       "         ...,\n",
       "         [215., 212., 207.],\n",
       "         [215., 212., 207.],\n",
       "         [217., 212., 209.]],\n",
       "\n",
       "        [[213., 217., 226.],\n",
       "         [206., 212., 212.],\n",
       "         [206., 208., 203.],\n",
       "         ...,\n",
       "         [214., 210., 207.],\n",
       "         [215., 212., 205.],\n",
       "         [217., 211., 211.]]]], dtype=float32)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# converted above picture in ndarray for data augmentaion\n",
    "x = image.img_to_array(img)\n",
    "x = x.reshape((1,) + x.shape)\n",
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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3RCUUyRQvL+rZakXl4px/YW/CahWFkFVwsYxzPh6V2LphPokha9V1HO/HuUnLMV48/TcOjyhEOJq0oBY1fD4dwWTEvmBimpCQSvjWeUsi78n4EUaiQGMFqQCHsnRMCBmKPkSoh4Ow67oBmalUGMxmpdQQBWtqATO9oF2bA9ftun3G26uhCYQwnPgojRpk0xYHHU2ELYhnqxWoj5kHWR6laprl2GU8iWwbSMQ7rFV5BcSsdwDfL9IC+tbHv1HgRdx2zuLaDi3OTJsAcqqkFozE2WfH96jr6M3uTt8nKIcL8X6jckJFHKdbb8hHYs5UFU3bOzZbgmgFzVLh04yLUzlly4x0LBDa/TkmiWN5dnGGFQjxB/ffgRBVy9XqEZeLU9IiOu2qw4L2LGoS9arivUcSdSjuD97p/duHdFqcTMsMW3V0ApYpy2IYc743pZXXt1xXVIt4qk7zgo2AaEyuCZni2Wk8Zb32+Ew0qdxQiml3vDclSaLXvK4D7z1+HJ8xn9Otlzy+jNd/9eAtCnk3ra2gEAdg1WEk/q/nASvaXqFy/EZRiNOw1AmzG3Fu9qYj9sXhNprMqATsVVEzmU+Yj+Lpn6c5k2nUCkhSilJ+XySM5b6OFIro2PS+oy3yAY+CDQNUWxnQcmIHiiHqkhgGnECiM4xJ8b1mozQq6fNNNM5JToPeRgq89wPMOElevtVfESHgqes42VmW7ag2+mPmQfx3N4IQfQV9Mscu4tAHizFxcSdZwPRyJt4l/qDVJ258hnChQol96QlDMo4XW9zIyzGuB3JAyPw29Jll6FlcEIuTNVnXkgR55nxOmgn6TW1oxWteZiVefA2hDYNw7DYVrVnRCvDkIEwHVfvw1jGvvRbt+O8+fszjZbT1i1tTQhM35DjNuf/Bfb777h/InKd88Us/FZ9nWXFy/30APnj0FLyYVuOSJIljaap97DKgRFW3AcazaGqYNGGzilEA5Sy5bIjpXkHbRLtdWUOrWmQNc7g3JxPbPx0rChOf5dbRnKaOX3ry+NEw194tmDmFKuLGG2UT3nnnbQA2tDTrKCxDAntiAbVdQiOmYaGnzKZ7Qyh5PEpIxvH9zYoRh0fxovH+jCCbp5t50mJMkcS/aV3gJRkoL3OCoFQNmtA/mFZs5LDKzQRNgpfVlxZmeH6tHak8s9JmyAnIsm2SUZHnWBdQYXv49aFA4xXObZPWdtdz//tPWuPX5sB1u26f8fZKaAJKKUkVhs1mQyZ46SzL6ZMK4in4sgiC3skY3sKOW9cN3n0Vtid5/FXsT6vkkzUBaSZJht49YZCw3joIYetYDKAlzhy0wiuBMycGLWAhV2Q0TQPiqKoWyyHfwbiUURI1hs5V1GsBIfmMREfVcLVZ0urN4NusrOW2iXM23au4dSuq8KFdkzTxtPvi3ZvMZpIuvL7kw/YpQe692qzwAmm+9bnX+cHj6MV/ePKEb/7g2wD8+Z/6Z9ACE86ne6gb0CyiOt64gBnHk0w7O8Bz1yfP6HMv9ueGahk/T0eHrO2KLosw5qb2iPJHMdLcFefZJKSsLqLJsV6uSUTbKRPL3ckxSzkKl5cVPex8drxHV/XZghmZqNbLkw25eOrbzOLxzMQBR5JhxEmYYwZN0iUpiWREjm/MybKc4KJmGdRoMEltagaouYYhItGZBOSz6eJa85lEVIBMVpTRbnCGKqV2MDOBVDISPVEpHbThHVNZm3BlP7wIE/BJ5EGvhBBAQSK2s7eBThaRc24QCMakWz/AzqV9BEGp+OC7iMPOtkMOuveeZEed1/QgpE9QhpQabCqTmB2PxFbNwvsrKMPdyQ5eoVSfvhxIRpK6O5mzXHS4Oi7WZrMg0dE+n5Q38EH8GKEGWZDaZsPiLPKCTXfJRoAnld1Qu2fx3tN9bh3H0OHBZM7jRxEgtFmccfE89jeajhinCZNMhKVJaCWvIPg1o72otq8ePuFEwnpd15Dnolt3inyvG6It8+KAMwFSjWzJxEjKtzbUMh9t7ZjOZEONc1xj0VWcj1IHjCz2vYMZo5GAeNyYMwm3PXnynDu3o8nShUcs1xeETCIXRg1gm0W9JBNhlSV6mD/bVGTyrkNiaX2Dk42jwxjbCcpwVKDHEWWpxnN8kcn7m2JDPoCSgh7TC57WgdG92RhIdc/nkGCS3g8VDyI/bFxF2q+oj/AGbFOBDUmfJOaAwAD+ucKbkCRkebymbZoBCNfnDcT78tL2aggBICT9yayHh3DWU1XRjk3TbHCSXIEW99fv+At8j7iyFt9v1rDdoAqGPj5JC1BKDQ4VpTWuT95wjuD8le9tM7fCVhB4N2QnhqBJlMSMyynTNw44fefbcu+WphbegCTF2/i9VesHePPTs6eMEomF5x2dCRRyMtaVo13GTfzw6WO+8OW4iL/45hu8+17EDHzzm/8v996KGkKbdBT7GTfvxO+VkzmZ3KtZrgauBWuOWEme/fNnTwcIc1okuG7FRjZOMoJESEVCB1o0GZOWFP30G0c5i3O5v3+T9Qf3wcV+jg5ucnAQn63ODEGcXMt1y5Mnsf8km7Buo7YyHu1T5J4PH0dH69HhPoeH8dlcvRj8RZP5mIvTKJBmk/GwUTu7ofZjaidcAUnKbE9y+/dn5PtxXpLpASHt8/eTmMWkdzgmZPtkygzhRpQfknlSFEb1sGMlIbstEUr/2QU9HDYfbT1xi/PIuhasg9s6tFUwJFkfvs5xPcFLSGjFsdwTuLyoXfsErtt1+4y3V0ITUGor1YLy9Gn2Rmu0ixLO2g4nmOwsywc1aRtS3PoLOtvINXZQgxKjhxPaKI3e8fq/zF7SWg96VFAMSKyu6wj2qtd1NywzJBr5Dturb0HjhLYrMwbTdkynMYfcbc5JMkmg8R2pZAON1ZimlRATa2oVn2u9XnHhFxxO4ulVV55OkuMfPXnI7DBe8y/+C7+GFk3mb/6d/4Pmw2gaHd2dk49L5jf3ZD7SwV52G0u3iv3opsNbiVosu4GDIc8zzs+agavB5BlziW5szk5wLtrxK+9JQlTT9/YLTBn7KIoRrgoc78eU2eP9faZiApzYmrCKc/bhh5ecn8bTf7Q3xhTxVFs1FYVJ+MJXPx/73CyohTVof/+ISvgUgtfcPYp91LbCSgJSnhradkPTicYwykmzaOpM9vYGEyBNDT7pU9Ez8Hqgl1DK0p+hWmkSMRPQDsQ01Vrj+9Cd+Sj9WCDsrMG+fdQn4PpIl/cE/KDih+AxvY8rcUJRFs3OLSveNsnI7VDWfbS9EkJAa00htn/bdZKxF+PH/ayl2gxqTl1XpOlWIChlrpgHzsWFE1y3jcuGrenwYx2BWpw0Wg+hRw9DWLDrOkxvWmj9cSEim8DaJV7GrLpAu4gbPdQN9uyUeh1V+FyVjCTc1a4u6YLQiO3tMWmir+DY6oG2rOsMN7IbBLn3tCip2zgf07JgdRnDgmp6wC//4lcAePfRBzw8i/H/k8fnjA8sWRHnod4sSZzEtpeBVjLq8uC5OIt9+q7F1tG0KKa3cXWN+Dy5XNWUspS6ajVkrmVpEu1yYG+yT1pGlb9tLMf7NwkCwT0sRgTb8xkknAiHwsaqAeJtqDClOO/SnImZEiSsWOQlWnwvpZnQEsffrFsKSQzK0oL5XhR61WaJygNBhGqgwnbRHDs9VczvxASwrl1jxARLtI7+J0n0UkYPfaKdCIVoq/eHGEoNYd3eb6R2Dx/52q4JGXadzEj2LHHtRdTs9lDqORZxDq92zFPTmwkMZoJvt/6Bj7Zrc+C6XbfPeHslNAGlFIU4/YwxtEKaaK3FC5tP0G7L5qMTnLDqbDaWLMtJJV/AeT940fWQkSCBxIHd9cXe/KEJCESnBuS0ct4OZI74q9fsAjRCCCSiibTrU1yQZ1m1hHjY4KoWdXqOEvX06foJx7Po2JpmE7wkxqyaikRO0ps3j0kkPyHJPBU1QUyA6XxOJTj+tHT4Kvb/w3f+iDe+8jMA/LO//it863vvAPCDd9/l9HHFZfsgPm6h8Y04AxeWwyKm7GrvWZ8LYs+10DsP3QqMRmd90suM7vR8mOhe7S4zTSLpAjpLGI8iZ8Ll4j3mswl7heDwveLBs5h+nE9KzgU4drpe0kqkZFoa9sRrPy6PmDBjZaPG0KmUszNh+Xm6womT2U42bCTpKG9HZKL+W6swaUbPNRE8HB5FE6ryjnodtZ/RWBMELKWTES4okFC2hh1H9c568m5w8lkYNMa+Dc7pnSjAy35vjGHH/0wIfjCbB0ZnABcIvfaMH5zkRpshsciYl5/3r4YQABLx1mulBsRUpztaGzeR836r8ig1fN+7QNPWQ+gEwhDuUeht2ICA0X+Mx1VmB0astnRO1mIHIeAH/MLuy4u/8Cwloy53S6iiat+tGlLJX2dt6ZqaINTapmtprUBoS4MXtXk+Sll5Qd/ZFi1Zbwd7E85aO/Dn5WlgLGExGyxrgfMu6+WQs//m5+7y5S/EENvv/8Nv8Af/8Nt8aGNY8dGjZ2jxenuXo4WJajRKmUqSDnlOH8yvbURl9rDZ3Gh80zNZaBaXK7k+oeujI4mhE79BvjelWi7YiOc9wTB9LYY1TxZPOF3Gzf347Am39yOc9/aNY/YPeoTgAYVTqCwKhUfnD1idxz4dikTU9PF4Si2MxnWzYmbivWbTPVRmBlUbm7A+j+8iOSiY7cnGzzRa8vfRCkMyULt7t934esckTJKERCDMPvgBzg4ft/cHCvYdghBgC/VNM3op4EMnPqk+qgVXaPL7jEIUTlCqznWUIqiyPOVl7docuG7X7TPeXglNYFdj0kqTDZ7ULVin7To60Qq8CQThhtJak+lkKH7RNFWvscUY+05a5Y/HBQI62aFtAnY0AQbMgRrE565kh3gqdiKtfeNAUHn2ohq0CtvBal1jxBnWtRuqUZTUqStQSjjoc8VkLok9F2dkqTgZU8dYj+h6LzSQDHml0K3j6e91woMnsR7CdNrwxutRw/jzv/arvHbvDb71vW8BcHF5wf0Povby7PElpThdj8qSUpyUk9yg5bTJijGXmxZGPRvPmkYIOJvOkkv6a5IFJnsHMuaClaASu0xT3LwBkvTkmpq5j59Xl0/YE8zA3uyLHEoyz+t3bkgKOCidUa1WnJ3HPrsuZ39fMBNtHbkHgMQo9kWTOD97NkQnCJpl85Bcx4hAoQ+GfIPRjSOcvFwbLLnMcWcUikAq6c+WMJiHSZIM0aEsywZsiXN2WCdaGwLqx6L5IqGuMB+nSQReAFZdzXHZjTzs3iOEAD3OYrVCxcenHNK4P97+xEJAKfUa8D8At4jO898OIfw3SqkD4H8C3gDeB/61EML5J99tC3Xcta8SbYbQh9GaZBAI7VApxqsYQUgGmyyjEWER/LZSkd4hJfmkppNkxxzwg5kxIAQBtUN1FoFH28wtFzyupzNvFJnYlMtqPSQDqc7Sti2t5K1n04LxPG786XwfZ/pF2JAcyILQY4q1CMeywHfJgKyzzZpCwCqJ12TjGBZ7crFkeRb7+O73/082Eo34wltf4fM/dZe3fj6Cf54/fkLSxKXwh//oj/jg7e8AcHM/Y6qEvjs3lMJIvLnYoLzFyc/BWVToBbSjlHHp3FFt4nemByNOazF5Us/h544I4rl3p0vKi3h9kY754mtx/InTjCTTMlcJeR4F4tq1dAqsCNtNG3B9AlKpmI/j5q5WaxCwTJkmVJsYHTmYHXFY3KUTLsRU1QRx6Z+fLSglscjYjiwXjsPMY3G4PmmHLdzcez9s/F3TwBizEw1IcC5sQ9N6i1bdNQ12TYau6wY4sArRvB0AQqhtiHDneu89uZiGelPx7Hl85ukkzt2L2k9iDljgPwwhfAX4FeDfUUp9FfhrwN8NIXwR+Lvy83W7btftFW1/Yk0ghPAYeCyfl0qp7xFrEP5l4C/I1/468PeB//gT78UW5xyl45btd/Dom2SrFexEENquxeuAMoKj1moLnNghDdg1BnbVry1lWTr0v62F6Gj6GoPO7YxLXdFctIrxYYAOw2gSHVbtcomt40msnB7wA85Z6Bxz8Y63meHoVgQOZSFlfRnV+dpvcJKMNDrc42j+M8N9i7agleeoGkMh+fglE/aFWWh8XHF6EU+7zBQsL6JC9sF3/tcx7agAACAASURBVJC7P/s1ioOYqHPnczcIVbzXT1/eRq1ivoGlpZKiJouTc/L33o/PYj2mtrS1HItdS1/bIjRrdG8OJDmNOLZyZdE2jqXY20OXOUpg1K4xfOMb3wTg4ZMP6HnPxsWIn7kbmY99gGdC1OpGKeV0RueFIfjxQ7xoIuhAYaV/PFre5XRUsBY6r7A4patL8ll8Ty5Lme3F918by/JhnKfJsaPNo2PWdIasnOElUUsZs3Xa6e3pHWG6ErWZTgf8inOBxKQD4MwkW41369SOJ/kA8HHuioagUNtEJcEt9J/75pyjbgQUVZSDCb2WiNGL2p+KT0Ap9QbwdeAfATdFQBBCeKyUOv6xN9jhAAjB7djkV8lDtkUf1RWB0HUtXddv1pi40993F5zxwq4lvKdMz2HAVggER13Xw/d2GYr7ZqQwZV8ZJnjQkhuuyfCCw09Mim3iJnBBoWzHdC7glcmI2a0IUHl+fkIqNfcmq4RqJVl0YcH+zcgTYG7tY08aZl5y0FuFD1HV1+ZwUFnLeca9vejqH09zmnUfulzww2/+Y26t3gJgtn+Dy5M4tsf336GRcTYBTp7HzwcPT0gkdDlzULUKCcIwHU1IhJq7TBPWXuxYr8hFDb2sLinEHJqOJmhy6OJA3/veh/ytvx1rUVq9xrrehDjge+9En8Yv/fRPcXAQhaa3ltXikiyN937j3h0umgiQWnqLE3/ReJxRyqZdV2cDBVpOQlc33LgRIxIbp2gWcW6mY03mxbt/2XDZ07/fTJmMZrQD18WOv8rZKxk6/Vpr25bxOI65qtZoFQaKOq3NsM7TNB34NLS+mkdg7VWk37D01NVEut313UilqyRNmUyiObdYvNwi/4mjA0qpCfA3gX8/hD4S/se67reUUn+glPqDU0GIXbfrdt3+7NtPpAkopVKiAPgfQwh/S379VCl1W7SA28CzF10bQvht4LcBfvbnvhb8FgJAnykVgRNDb+yq46npJWoEZtqe672z29isV1sI5Scxq2g9MN/K2IDeMbMVvbuAID0Al6Lk7vpafD4MWWTWbiV/MSrYWHHyOU95Y5+QxZ9vfflzMI0ndmbXSHUwkgDuIp7wXV3jhABUzW7SHRZkQeLh7SE6iyeO7dKYggyoNlJUAUxtjpYxJmqCXTmqB/H09D865fGz6ED63rs/pBau/e//6DHzWQT4vPvgESMppJHmhzin8AOQSqOSPiJgSUQrKqdTvFBouSRlNIkOv9FkTFMlfPBONDv+t9/5PZZy+isUThx+Jx8+4HQWn//R8wt+9ee+BsDPfOk1PFALeebtw0MOZC6euwYjTrqJMiTyzKv6YmDv2biANgbba4y6HFTo6SRsK/+2gUTeZVVZqg4KcXoGIJH0ZxIzgHdCUIxKIQfNtidxmuRcXCyH78U04b56cTbkwnhvr2gCu15/ay39RqkrP/QfS7Or4b49vL1arplLWviQa/OC9pNEBxTw3wHfCyH8lzt/+l+AfxP4z+Xfv/3j7uW9p5JimVm2Lb+s9ZZ7UOtd7/72s1EaiwJ5od4xlDWUcQIvJ1WIpkB6NSIgYIsBIcjHeQiH/o0hTRKUFB9pmooeFa5HObaVZ8EQWtkoVYv3DV74Bcp7+3TCC6hTxaqLmtEomBhPBOzlBX4lYdCRxrx1F+WEZt0ZWtn4dtxQC4dCai2+92k0FV4q3mAcdVvRF1DcXFQ8fzfyBizalk5MrYPj19mbRe94NkrYXArC0V9yODsgLwWZF2BZ9xVwHJnZJgrVAgjKxyW5EI80VcXD+0/5+7/3/wDwzoP3eOOtNwD46Z/+Gg+f3I/9nDzj4iSCfU5PT/i/vxURj5fVOb/xSz/L3YOoztdNx0qSjo4zw1remw8OKZFIUpacSFrxKNMcTCY0QiyTJwmNRDGePD1hT5CNxaQkFUFdzg9Qac5oFE0Q5330CwAENxQFSU0x+IfG48lgQmodSNN0m9CWJIMQ2C0nnqb58B2tr6IHIXJaQvRX9SFCpbeJSUmaDizMIThaEW6fihAAfh34K8C3lVL/RH73nxA3//+slPqrwH3gX/1xN/IhUEtReWcdmUx8mm3DdbuQyY/6CmzX0UqChHN+IG3c3bjAFQjxIE5ECGydNA7bbzy7S9OshjuEwBDLLcuSwiT0fpfarzEihfIyZVnFsZT7B9QiXArXsrpsORE668+Nc1Z1X6kGxlJ1p6uWKMHdhpBSr+NpbR940lt7qPF4GHMnhVczAk2fxYgZUIW61ig5FR01iQHXSom0zrIax+vNaEaq4+kxtobbR/J52mA38fpN2zAZrRn1yTF+M/hhdJpixClx8eyU0a3ofMzKJMKwgeXC8s7bP+QffyMum1UDpaD0Kr/h81/7Urz+D9ccikBpLfzokVS31xvu3JnxunibynyGFzRlWXVo2RwuVbT9GsgypoJw7IKl0R66nqh1hBeJ6Enp5PpJmWDGwnI1LclHo0EIWOcIcu8keCZCRZ6l5XB4ZHm54+RrdrL7roYSq6oawnpFUVzRBPrPzjl8CPh26zTvm7MOcT2RacNsEtdm15rhPOzX64vaTxId+H14Kf7mn/uT3ve6Xbfr9mfbXgnEIAGars8RcLgeeOPcoI4lidnBWoeBPcb7QFNbXNej5/SOvf5iKRVgy1mQGJQ29DZErOAiDL9X0jrDlYovfR240WhEGbbVYJIiY3URPcqFcoylsowPjkY4CBJrySdz7gizDy4ZavH5YDFS3HNj7VA+O92/h334o9jnh49op2OqX4hoPDMrSHyf6O6YDuw3LUoQbr6paNdRHT6pnjGeH5GIHe8rxfgw2t4LZznwUcOozzdYAdh4Y/BifpSTnNYtKVQE5aQ6Rbnej1JSSVj00YMP+KpEJ8x6iRP67+dPL/jBDz5Ap/Fvs2TMqfAG1O6H1Pfj/K8XLW4T3+D+vSMqoYt+dLbkf/3fv8OvfD1+71f+3NdIJ/E9rc8s0zze19Ytto8UJAUqE19TFk/behXXXGdbpjNR8yvFfC9qL7ODnInwNTIeU44mDE4qoZUDKIuSURn7TNN8UPPrut6ewDqq7b1VmmXCM0k0h/sowG7U4aofS2GMH3w8wZhBY768XLAS+vXRaEwpPgmj/cCApfTLYwCvhhBAIZoyXfA4L6aBd1h5iCxNBlru6BOIs9k0HW3TDbBhpbawX71DqRTYmgOo7aSoxID2eNdXFOquogPp1bltqMaYrRDIs5JMGUrJ9ivbDW4UN+Hm6XO6TV/AMiPtHZuJZq1aPve5iA0IVqNECHbVZvApqMwMfPLzMuNS4v+TbMzyrEKdxXubw1sDVZdzzbAITW4JM1FZ65R0ISGyVKEtTCR8dfjWDfSFzNPzU+Zi2jRhw6WE9R4/qrl7FMdrEk/nVgSiELOdJ02EXHRjWVViRikFUvfB7O2xPI2dPHrvPudnK0rpv1QdVqjDdMi5eCq5/Zc1dw+jaTA5Dtwu4js6eVhz/rTmnfuRXuytL93m9q24iYvxln6+8QlqE8c/yg2dHC5d1TLa26fn/F4vNqhxNHs8hlrgzTqfkggxqMnKqLL3FOKj0YBDGU/GpMk2o7BX7Y0xw0avqgqlAnnec2ZqxuO+JoHf8YO9GNna0+/3YfK8GGNk/EmSDslQdV0P98qygk5Qop34hl7UrhOIrtt1+4y3V0YTQLzrwdkhxBGCHRBWzrnhhE6zlDTta6xZWikWCWCU25GkL3YMXtEElAECTqIQ3Q5KS6stKiuEMORmF0UysBsTPC7LhxBNlhkUfXShpl6JJnB0xGQkTrZcsa7OScTpVtUVXgqDuLpmJU7SzjY0AhYyRTtU6anw2JUlfBiBNPO9m1hB6TV2LeZNzPzN5lLKOp8wLyMgqX6vpV46TJ+0ZAKvHUWP+Hw0on0Wx7zKoJN6h+O9kk5IR9u2I8+g2sTTv8gr1qt44q9aRyPaSznK6OO11joevB/NmbMnT7h9eMj5OppNJ08ecOOecAvohKRflo1mIynWo80RsyM5+dKOB+vHXLbRUfj42W3m86gxrJdL0hDNnpWd0Otvo9ayP4vzva4r2uUaQ9SsvA9oSU7atJaqinN+sVpSCmfDeDRlMplEYBBRrZ8KU5E2emCvhq0anyTJjpMvsJZTOfbpBq6I3aQjY8ywzj/KN7BbRUgRBsBcnhXcuBGBZJvNhpWsOefaQUMw5tOJDvwpt/6BMxA+NG8tQffovXbHV+CHyjRN3eGcGmjEYqFSu3PPgetp29UulbhQN/c2mfeB0Hu9iTnhcglGsLFJqvAhbgDfLamph9TuLDFDfQCj2Hm5KVros0/Ozpnevk2vNbftmkQQf9bWA8HK0tRMpjFE5/yGMI/jWl3UlOmESkBW/v4Dkjux4rBO9/AS1WhZQV/BaKzRNm6CMJ1hupb1ordJW0ZCQ7U/KmlvSRbeOh84DFauYSU8elobUB1WSDrON2c0jYxfB6wsziyfcL4SWvXzEacXQhby7BmLDZQC9b11dIBOBQLcbCjFIz+uwfqHMs8KraOguHnrLg9/8JCbN6M6/fTZo+E5MxRG9Vz9zcA7oZIGhGykGOWslw2JrInWtoyEsvxifUJohWykUQMS1FqPD1tI724qf88IHTv6OHIQIi+j9+XA/ts0zRBFaJqGUnwKLysX1vsK+mtC8IOKn2U5iURRyoJBONR1RSJm2ieRilybA9ftun3G2yuiCQS2CB/NdliGIDh0FxyhZ0zxDuMEaNE58HpgI9KKQR2PdxZmG7bMwSZJhuKiIcRqQr2Edc5ddcz0BSqMotfsYsHPbYEUi8UPaaGK0SSqZu5ww/0LOa0XS0pJK1aTGdNbdwiSQJOisBsh9/QO1Ylt04VtAlNTDadaSAz2/BLX5+CfPuRgHiMFxWyOTfdlLjz1JpoMtmqHugd37r7FQj1jKZrE+rJjchQpxcazfazU5evcCYvnUeXWtqMUE0z5HKs0QU7JUV7QVtGZp1QYajF6FGsBLtWnDedSWtxmipFLaKXgzOlyQd1GcyKpJxzLWFq75M3juUyFH/AHi4szPnf8FgeF1EZsH3MpGofShkSokdJkQqrje5rl86Ey0nlzQdsobhzGe7e+ZXEZ52KcJMOaa52lkfXTuIrlajUAgeYH+8NnhbqiAbwIlmatxVp7RcXfCPu0tX4gzt1NP/Y7EYhdE6P/2xaDYAfcQJomGBOfvyhyeg24E/LXF7VXQwgEtrET5biqwvdEEA7velUoYAQKpn0ghC3sN9rquwqOvBylBlt5d6J7OOZHEzXisBx90Qalt8CNgCUId10LhATcAEwyVH1RicmUvIgLTdmOTCIKIS9QZYmVpJGwbmjWYgd2kMhcTJjTumjf+vMKXQiE9bIhayxaoiXubMHmOC7idDYhGIEQ+5bRYUTVNRcrmsfynU5xY/8OtFGFf/b0lHYSzYlbh8ecP5M+15qzZ3Fz6kSTygJs6g1GKYwkFFm3DZ+SZoS+eIzJh5z/IrvB2VmsKuywvHH7DvN53GDV+5fUwhC82QSW58IrmKW0Mi/TMuPZkzj+M1uTrBX7N78cZ3y8zzqJf3t28ZAijws+uIZCiE/adsOhhA51mtK6mqfnMbpg0pREzImJLgZzal1vuCm+Fucsm7qmlCrDTdMMiMEsyQYV/GMVrWRZGGPI83yIFsR7Sik7H67wEfTtSiEbrm78pmmG8GNcz8j1W8M3TXNaYaEeiz/qRe3aHLhu1+0z3l4NTYCt9AoBGDjUFVs5ZYbPyu7kWQeIFd52qL9egmPcQo23tGO9U/CKxFV96TA/8BmkiYnEjwifgNuq/zF/uB+zAwGluCZhfiRe26cf0mihsJofEXAEIQSl6eiqeM04KeiLemw2FYhqqsemt0AYH92ExlEWUbp3XUuQVFh/2A6ls1ww1FLSLJvMSY4FhPTBY7jcMBF1eHq4j5tHFfxcJZwL/uDtH7xPJw6nvMjJBMSkXULwLZ3kItS+pbESOZmMWIvH020sl+LMtXrDfNaXOuv46q9/AdHgeedH30O3cT6fnCzR+wLhThMWksw00Rvev4gJT3/hL/4CT77/fW6/uS/zrDGbqP0EnfL8JEYhSDyNwMl9ktMt43jnsxISTaeFsbrpyIXbYW864clpzHkL1pH1lGZotE4GQta2CyBRnJCG4VROdgrcqp2kN5OkYob2dQI9e1L6rKrqK9GBXZag3hluBD/QX1+WWyfjLmVZVVVX+giYj33no+0VEgL9xO1kThHEPIAoAASf7j/O1aYGYNBHAEK9nqSuMroOQsA6nN0t3Khw0qcP7NSKTyiKbXZgT5YRXEfaBJyNKrQLllrov30DmYBILkl7PA/T2Rgd1mjZ4L61jEXNTAEt3m2XV0zSGB1oEzdwHHYdJEeHhFVU51UbWIgKPz/qyGcR8bakIRNUXr06GSrvju/uESY1TSsLr0jQEyH4sN2QM1G1S8xc7lV3Q9HYZrng5v4+lfAnrpuONOvZihWFCNvLVUMmzMnr5gyvo9/g7PIJ958/4ue/9ssA/Fv/9m/yf/2934/j/+F9nj2PQuisXjISXsBNuuZQ8v/bdcvXv/YljoU/8HLdkI/jPM+7nJmo/Q9On9LIe+70wB5PC9SbGj3qawYyEIQs6zVSdIkbeweYHRbfJMm2z6k8ne05JJor6zGTwyKwVef7zex3WIm17hOIusEnFZOMtqaq6nNn5L9ds7X/7JwbhEisurW9PoStT+1l7docuG7X7TPeXglNIFZrFY9o2Ob4XdUK/PB7zTaW8HGI5a5vdoeDQOshl1uxVY+6rsN23baYg4oFHACMTslFBc4zMFJ3q7OWTmDKVVuRtg1adFvnNnSSx5C5OWHTp6vmMYgLJKnHLRucZBHS1QM2om5qQo8przoqOYmMs3TiTdaktIsaJw6wZrPECq98vajJb4tqWh6iu6gh5MV4yM9QWUG6V5It4+lZqTWd2BqzLCXtWY19Q91I6TMHbiaOUR1ouwZ5TCyQ9TkOWUkiDsd7Nw7p+vHnFUEKieTpnPuPHnP3Vix+cjCe8pf+pd8A4O43v8fb3/oBABcby7KN2sPdt+7RJVF9/qm7t/nya7OhDkSzukT3lGpFSida1WExZynkDGfrFZ2o9qUraXyC38QH2J+WNK0wSJV72J4hGEUmmiBaoRPN8KMxAwNVZ+1w0veOZoinel+DoKoqjDYD7iTPy8HU3Gw2A96/67orpoHaOacdDGnuWm1hx3Vdv1BDSJJkh4/gFTcHoqLT8wOoYaLith+8BegXcAN+9PNHAzSD+qW2dQUjndkWiTjwtwE4RaJ7r2tK3tvX9oKulSSftR3ScHGebr2kkKQZt17gNnHhdnZNKuEakyhGk/hZ0dF2Fb6Km+Lp++9zU0J8VtWUEhasLxuC61XrBWUhPIiJxhQJQQA2mU+Y7wmabuywnWDfVUYQtmCTtpg0/j7BU7U1hajTug1kQtOtuz60BGOT055KdCBTXD4WIZQEvMkIff3ItmOS9pThm8F3Mk7HOEH8ubpjLvUWJyPF4vychz+Ktns32xts6tdfv8Hrb0YW5CcfPKIQWvLRQQYSFi7qGW1bc3YWfQSJdsMhkqmcSS6lxWcjVBNRiWvve/Zu6s5RtQEtpBxBZSwlF9wfQCH+jdC21CKQ85nG4fFiwqVZEf1BXF1/m7oeWLFN0wx5BF3XkY7SAVnYdi1eNrTSvBAxuHtwQfxO35e1dohIjEajHbDbTk1Ctctj+HJz4JUQAiiFpc8CVCRDcdEwbGJQA+/9bvz0Bbfa8gYoteUWMGaI5XrvBxusT94YJKbXpH3MVSuMFKBcLp/jhHsvX1pCJ/3XFqp6KIvmq80Wsbe+oJE89XA4ZiaSe91WNKenJAK1PZrMSGSBdhcbCHFB5m02ZIEVWUkiiMViNGelanLZbN2qZvl+DHftzW+R370lc5nRyH2DztBC8W3XS1KlhrBmMTnASpxemxwj2WlTm3IpNQy0zpmJ3f3w5EPKFvY/H0lA1w5aYfnJdEpZCtm96zjYjw435y0jMbZPN0s2NsEuolB5enJOEAjtRVdx/EYM/emDgrXgJ8Z+xOIkbvrnZ89YK0eQ6kwHe/MhsSZTGQshWDF5wlRQkq4IXBoh2MhKDkdmwDM0bUshQuiyWaHFJ9RVNU44Jn0IONf1HC8oYwYikStwXqWw4iuwPmAlGUmpcKVcnXOWVIRQOSrR8m612XIMWu+uQIi12v5NKzUkvUVI+1UE7O54dv99Ubv2CVy36/YZb6+EJqCUQotNG6yjFQmXoDByKvvgd6hW/zi+ACRHYAeE0Wv8Pgx2+xaAIRIzBJDTP7QNldj6vrsgEXBPe7ZBi8qoVw63qAbV0nUrQhrHcvF4zd5+9GiPixJhEMM9eU56sSKzvccYNlK/L21qqlr4WtWI0sSTLBvnWDnJNufnrLKOmVBztxcrfB7HU5+cYS7jmJO9Ma7nriMdPtN6wrrBSgnyztakpk/6GfX4KObZjG+fRqqv02c1vywcf2/Mb1EtL3j63Wi7h4PDwSZOspK8jDj8jb9ktCfRjXZFJmfO7fWcVTUdsPu39454KvUH16s1770XacSazlFIiPL8+ROUnIpnq5rE5BSSWlzadMglCRSEVEyDPGck4V5XOXwfbswSktSw7KtDebiso8YzHuVwGfu587mcTsyBpG1JckeQU7+zdjAvo6d/N4FIPPXO04ppp4LFezeEqbWGLItzU5blwGptXTf4EXZ9CCGEK7kLsKUeCyG8NAS4S4P3svZqCAEUqbxsp+0QsrPWDmEdE676AK7UeQ+7sONt09oM0E5tNK4P17ht5VZlNBBQfTzeeJDF4ttL/Ppp/GK3IlmKrX6xIe0hwCtH1gFNfIlp6DACWz3e26PxfWUcS7eK8Wf9/ILk/HKo4KNMRiaLS2kDZfQP5OPRQEm1qTZUi6j+lo0iDyluKWW9VmtUIvO3ucSeRyKQejaGNNrH3hu8mA+jck679hjxSYS6pupECI0aEHjtJm1Zi8PvYrXi/Hn8/vHUMfUFlZgAHz55TpBQomsscxEoXoMqo+AZjUd4wUJ86bU7nF22nF9Ge71KKu7djRmO2XzK87UUcS00q4WMKyuG7MKRSblsntGICaYT2BNTq3Utc6ERQysqsfXLfMTegZC4LDY8DwtqwWkol+BVP/8jGh/7//DRI9LjmF05vRfAQys0amYHW7Kb4aeUQvebGDcUZLXWEnbrCxDIxKcSQhjG2bYts0lf9Sjf1tBQQXADYsT4cGUP7MKJ+/ZRxOHL2rU5cN2u22e8vRKaAGxLk5ugsZJMYY0mSIWLYN1At/wifPYVEtGBXmyrCUR6sJ6MtCNISA5tccaROKkUhMU78a43C/wqhsh8s8QvJcRWO5xgsv064BrHSBI01AhKFdXhqoXWxZNsPLrJav1+fK6zC7ioSMQB5wyonjYqHw3RiWI0YnEenWFdUzPtqdB9h121TOR76XSfTiIHIVjYiGqLZyMJNEoZDMJkkyqMavESFssbSOWEs2cV1alEN3RHI/UDz1Ydl0LHdVB4lDXckAo+tfHcl6St+Z2bPD6JSUdLteatn35T5l+TyWmXJwk280jgAkcDMhe3D2+zJ3n6p8v1UIswsaBlXjPV4SuPKoV+u4VNGsf21u1j6p7oc5IPps3yYsMkix3mkzGXXcPax3eb1DmzWYxcXFw02P5dri+pRFvSBLAWn+6o5zunbv/ZJClKHIu7TEBBCTNZ2BLk9hwMuyAgY8zgWDTG7bBkxRvsAul2q2D1bRdV6L0fvvNJGsFPLARUZOX4A+BhCOFfUUq9CfwN4AD4Q+CvhBBensLUD7BHZmlFqiQU1tOJA6q2w0bfNQd2RgL0YUWx1bQZEFfe2wEJ19kWLXa/wqKDR4s6rPAEWfh2cYnqqbRXLdV53Bz1smWs40JNXcaiqrHLqKp3+YSRoPRImoH3PcPDiSARVzXWMez81tkhrPbavbd4/GH09J+fLQbm3CIt0aK++i6Q6nSoNGMmGZ0sou7ykkQ4/NvNikw4ALzStEHUz1SxXj6lk/BfFjqcVHBSlULXwuu3d5PpfrTV3ZnlfcmIbIPmuBjxeYnNP3x6n9Ukfp4vFjx99HYc11HG/s0IR3aLivYkCtrWtiShYS40bJ6CkSRXKUZMhHcBD16qBWMdz4VgJc1zZtMJDcJh0LVspLrS229/n4Mb0TQZp1NKYd7Nyzm2kwrPaYI6z0lsnJvNak0nkZ8bb32FvBBSmQw2TZwjgsdZi945iHbDboMQ8GyzTY0iEVLAROUoPD5sN2i/8XeRheoj9S36KJYxJkaxehMg2fb/UbW/v36XquyTYMN/GubAvwd8b+fn/wL4r6Qg6TnwV/8U+rhu1+26fUrtJ61AdA/4l4H/DPgPpCDJXwR+U77y14H/FPhvP/FGIbIIQXTU9SmaRhmQ39sQXhrzDB8BCA1FIbQZAB3euaFKUHANRoqDUm/wzSU2bMuZZ+IY8+saK6gytdZUC7mmDXSiOeBLssZTC/F7s/G486hJFPMJ+bGg8qoaJ4y6ofJkZQaSCjxNM9qeLDg1A1tvgiOTRw3O0fWYhxy013jJBahtQ5CU264JKIl8dHWNGsU+U2MIEh0IWUp+PKc5i47K1YXFrfu8/xW2ifd6/8kTLuv+9E05F4fdg9WKL926xfJE6hDUC1ZVVK2bzHPjMGpJd372LZzuMfEGK8k3zjtaW9MX8BmlE4yJp7ROLaXUQBiND8iEFqu6sJy72MdqtSCkYFRPD6bos6vqsOHiMk5aoxrMqGc5KjCT6HA9OT+jDXpIWkqnKYVUCprMpqxE48v2x8xv7Msr9yRGX1GvXxR718ri+uXoFYnpkbAedsqOXzm5URjdO/bCwDNQluUWM2DtlRLoqJdHB64UMf0ziA7818B/BIg7lkPgIgwGNw+IlYp/TAtDRED7gBLTQBtN6HqbdvvQu5PfC4DBVNDJUG1FPOzZ3wAAIABJREFUaUPoN37XEgRJZ0KLEfWvWy8Ji2cYYYFtPYO9z2qNF7uNVpMLbDW0G7zw66ET7Nqhs7iI21VDMo19nts1t/Zipt7Txw/ILmP/rrO0iWM2laoy9v9j701iJd/y/K7PGf5DzHfI6WW+V1XvVZfL3dWNjWk1mAWyaDYghDcGIRAyYLYggZCMV2bBAiQkxMoSAiEvkAxYrBGShTdeIDDYbrubHlzDmzPzZuYdIuI/nYHF+Z0TcfNlvuqu50Jp1T1S1Yu890bEP/7x///Ob/gOE06ANJ//5PfZyVhyoTSVfDIXA1OWj46BprJF3qvbvmQmqf7pbI2XtDue9TTC2R8rh8plllXY9YzlE6np7UAv9Xpt57x6loLD0E1Mcs6sGQuIalOtuXj1gkeLlHb/6ve+hV+KfHllufetBFZ6/5/6PrYRSTPf0y/kQgzQXe2pxGTF1BuclwAVFKqWG3q8YblJz39xc00jqf3WB/bjVEbJKirmqyzTDYvT9Jx+SLoDkEhniH6AqiZOZqfohTgq7T7m8fl3AGi8xwsIaNHMWZ9KOVPVt+Ts4XZvKt+EwTuMfGcBzSjXdfBT6geo41HiIe3PRLUQQmEHjuNY4MRtK3Zux+Cho/vhOO1/Y6D5eYCFlFL/MvAsxvi3j3/8hj99Y0fi2JD05cu3O6berbt1t36+65vakP0rSql/CWiBNSkzOFFKWckG3gc+f9OTjw1Jf/CDH8QoEc6HgJYOavSK8BrN922rNEOsKf5voEomEPyAFbov+z3Tq9TkMtNI7B1Rso/Kg5Z0eNpNhF46vf2IEQsoP6pSvugqYK1HC0AGFzEC4mlmikZIQ/dXG7aC3Q+Lmkl19C5lGSFGkBny1DuW8nyGWGDD2s4KnDpqxzT0KNl9FjQoAVSM3Svcl6kEoZlTL8RL8P4cZ2W3Ugozs6zeS+mx1SMzUUrqwg4dxMYqerqinDyyvUylwWrW8N69+3z/j6XO/4P7K9pvJ2WikyePGYRvYe6tS6fbbipqKS18fc29+RO6awErBagb6YKbBftegFcEYgZuBejFoGU7XvFquycKHqOtbDEnredVUfVtl+ti0NFozaTT+53qGmLNYpkwADFe8zjrKVxdck8s48/vv4exMsKIFq0O5cBxeq2O0vxjSLtRqvhmROdBqaJSfcwDOC4t0nTgwAPI+AHvPU3T3MIW5KzAmIPN+bG92XHD8OcyHYgx/iXgL8lJ+DPAfxxj/DeVUv8z8OdIE4I/zx/CkDS9XvqvIhZMtDpiPn1dAMjPhFQCZFSWj548mAiuwwsOnlcvia+kptcRjS03mx8nkBu/crbkMd11hxFlqDZAJ6PLUe0xbY0z6fWMhmuRfF6vW5RPX5quZ8wl/e1nLfVswUIK/s5Zwk16vtU3ZVzGaIvkeB0VWkA4kwEVDVXIrrhphAgpHXXigGTnM9zn6YKer04wrZQ8KuIrBdKdt+sFYZk+XLsCJAg+OjulF/Rit1lzIfS6+Rj5wbc+4qNf+2UAoppoT9JNZJYtWghIkzeEIuUeUOLjVynN8lyzlAAx3Uw4KbtWm8coL4y6sGTRSnDtPuPyJoGgop+IY48RxF1r59Sycexf7Vg+TNWprRq8XAsTofj1+WFEB8uNKCyvHz8miFTa4mTFA3EdWr33Hog2gVEVVttbHoDHK5elLoTCUTkODsrWEG+nym9K4Y+Zf3BI/8dxxDlXpgWv9wuOzUuOewXHwelt6+eBE/iLwF9TSv1nwP9Dci7+qavc7wrKcDe8PQsozUCV/k+Vk2AK6Sj4vjjbxH4LnYwBu56YaagmoFUoFtTgihCDMWC8QFAxpT8xjVN57HyHWZ8zW6Ta/3p3wV6otFzDQ5uUhToiAupDeZiUwgvlddoFmvpMjn/DhGAT1IiXXsE4OEwOjlYz+Vgg0ZN3eBEntbUlSEDon3+OORGnpMdnmCwZbsFpcLlp1SqiNOOac8MgEOZ7985RYuNVNTNMLdnTdsRsWqaNmHAS2PbymaeGRqzXrKoZs+hrUAhgEIUhRgiSMWw++gC/le9pGNAZNq4aJgm2j99/TO9SJnDdXRIHTStW47PNijPpyZih51xm/s93NyhBPKq6Rktw1ZUlBLDC0Fs/fsJcyFE31/tCRV4/fJ8wy8zPfGMf5v7lmlTcqvXDUUAoNzopNuRLO4aIC4cdP9+sVVUVRuXrzb4QQtEo9N6XPsFx4NBa3woIeX0FW3O0/pEEgRjj3wT+pjz+IfAb/yhe927drbv181/vDGIwrxgP0fLrCUMc/U4XJWGlVOEIKO3w4uzD9pJKyBwx+ELMqKJhiCPIyNB4hwt5l1eYLGQSFTOh4o6TKz7xftzj5ktG2bGm0YKgynzYcnMpfYhuKpblNkzEtmUrfIWoFC5mUIklVikrmNhSTAI1xDGnj1PCsItGXqgC2mX5awr2P/Y7dlcJcai//JiVcPOVWaBiLFRiVVWwklHczQ1RymDrK+7XqW72FuJSdlUX6exI54TmOz9hsUnnpvMTg/gPzhYWbQWEpFo2y1SadHaP1opB9Bm+vHrG2TpNFGjXsEufWesBL4jBV7sd985Tmv4b8z/N3/3t3+GFaCFqDZ1Pn/nBcsVc+ArWRzbrlK1UpmE/Zq5BzWqzKnJt5mTORvoAi3OPbVKZoep5AVtplf4v8/uDolCRrTp4Yx4L4YQYbnX9ORLM0THcKg3yc8ZxvFUm5Gwg7/bHOhjHQiLZMr2u65+aFby+3p0gUPKkgwqK4usPPi9tDLoQOHT5csMwoQQaW3lPHNKF0u331BzGVTEqXG4MRkclajQ7p6h9lhlXhemlYyiH672lu+qZdLqgzWqBdQLnVRWTsA3HfU8ln8U0Kf0er7JKTEAZ+cxaY3JtNHmizjxzg5b02TpNFQby12fnBpWFT6dYZuujm9i9SCm8/vgTjJhu1t/5LqAKVDgqTVyli92tB3TXyPsorl6I4tCTR8zFhiyg+Qdf/h7PP0s935Pvn2Fk6J9Oo0iTTxOVBE5vG6I4M7VVjVOO1mcRT0Uv/gQmWKp5Suen7YsCrTZLgxMHo3438a33v8P6NJUgu64jyxx100RU8j51ReUz0CLQiLPTSMSFgfe+9T4Aq/P7KN3KuaiIxRXYFpn1qrKgD2anSlGUgUw4pONBeaLKSD6KN0MRuigBIhaGrNYH8Zvj+v64TDh4DBxK5II4jJErIZfN5/MyVtT6zY3M19cdgehu3a1f8PWOZAKxjE4i+tAQfCNHQJqCuSejNdrYMhb0IRKm7Noz4EQWuvIeL+WANvqgaWg02tf4bJypAlnvr8XjZbpgrWHIGCg/EgpAfMnlrmOaMsAHTCu7RbAs76U094aGIJx5YwIqGnQ2ONUTWhpwod8XYo/SCi3YcxNUaf6hKyITlchtTYOnka7jMIxYk1PzjnCTMpThxUu6nyRtADVF7OP3CWtJbcNhFNmcbQi1NMO2HU5SnvVqAydSTjnHh6uam5CO88r3nJjMl2ixVlLTxSlZMskZDXJctVIQd1RGxq8qgnAnhuux5Nnjdc+sSc+/vt6xMKn5amwFbqKRc3P+4AEvnqXJQWUsXnQa5izoZFw4Os36PJVZs7mhmVe0KxkxzpdHmUCNkemGD75MN5TWQjuXr0AfTEiP5elUTAL4IFlBfkqUZCBnkMRESiKVDccmunn3P1a8yv9+E2p2mqay4+/3+wI2ms/nt0aKb1vvSBCAPIsr/gF8TR/gUFqlL+dIFCSEUOS9onMYqd2dn7BiOonuGDrRyzMNxmhUaOX96wIVDm6PkkmB8z3KZm54LBeAXjRcPP2CbUgX5FmteXg/XWyLh/fxtWAGlktclWHLjuFGFQWEaC3OZ45VKI+jr6hkAqBMJMqIEG2oImi52I2v6PZCJrIVRuzGdtsbrqU+3yxnuIt0o4w+4R70LyUOf6xmha3ptSEK+k+tZ2zup/o4dIFmnW7CUGnmL2c023ScdbMgyo2jmhojbL/FbMmNBDRULNp72gdCWNBL70L3WzoZ/5mguPwy9TEuv/wYI+dsu9tSh9QTODk5obKWnfgI7AbHTMoRW1X0QyobnB4I8r3UqqKupByrNKtlg53n68ESc6lW1WXSVFXm8D1rQKtyUyul0OEwm7818w85IGi8yky/kODxcp1rEg4iPyevFChycNQFJhxjvJXeH08Ejo1Kp2kqZcL19XWZIOSewZvWXTlwt+7WL/h6hzIBWa+ZMB5zpm9lBplfQIXSumCTffBl/qrcRMy8/ykQZScItiGITfUUBppmjvK5URiKy4yuI1q69tSRKDoDKmiUuO/cXL5g63dcimdi6AfWkswsH6xLA3Gua3YC7rlQnnv1im6fmjnD4DEhN6OaA0rQhZIyGlMRqoPSrLGBbMHezC1Iam6omPoDZdoI2ObV1TU7wQ+8rzS6qWhfpUbhfLFklCbVaHboWeqo69aWrCLcjFiV0uebxjBbtqwnKUfGHX6XkY2aeiaNwf0lKu/Q6OSaAjB5VvOK6wvhb3z5gv1lmgjUtaG7SOfl8x99isnlwHZPJSShp198Rj1vixL06ANNlQFKnkr8B7f9JevZEzkvNbUAgqpFTTNfoLMaExQjkGh0oZ9rpb/CVzl42ajDjn/Eazn+24gie5hHFAp/ZJB7m/b2Jpx/CP4WVuC4aXgsLqq1vuVLeGyum5vZuUR403ongoCKHOYtx6n+WxWFVdFxM7pGcfCRH8OIlxczMRQ4cBhVCRx4R8xyUkZTNzWT1M7BB1SToWWWOOROr8GHHEQMLjvDjBObWnMtAh8v4siJIBMro5BBA35yyKCAKq6AwLLNN5EnSoBwwck8CmIcCVIa2GaJVilNd7s9qLpMDnz0kNllIeJ1ltRS9NLr+MmzC558IFwuCy4O6H2+QCbaeSbw7LGb/F3MidK3mM1rBolooTXM7Bp7LcdmWrpJ0Ji7DnOd3vMybjn5VgJLvXy5xUYZQ17t+PTTT7kSzcSLzz5n6UX3AE0jjMIPHnzET778ewCcLM958Sz1JMyy4YsvntILJPxsvSwAo2axQPd5CmOIkgWbFuq1TD0Wc2hPMRLslamIAhYL5oDoqY9q8oPKb+6j3EazHjP3jgNHlsWLQaGULnoA3vXle367fD5FCCe9x2FyprW5BRvOQUBrXWTOjxGGP289gbt1t+7WP8brncgEgFtcwzemVkc46CShJCm70URCUZLF9ThprNQGhmxqUs8xMr/VVSxuPrayeBQ+g0CmPbVg+t0QCPIc5wOTKPnUWlHlpGIXsFNTYKchwvWY5umvLm84FUtoZUJpMs4GnZRjXZ7t+yI6GqMtmIHAWD7XFBWT+BGgKiK2nLJx9EDWqp8w83T8j04fcPVlSrPPzu6zupeov2qzQFeG65tLOTZL3Mtnjh3jlfAINpp6mdKCaRowG8me6kjVDQShGYf+QNNWU+RHf5DwAxfdDe4fynENipVJgBz3cmTa3bBrUybyqrvhxT7Rl++fvMfv/8NkSvLe4yeYnO04x5gNXLsJbRRedv9n+y2z3My7HhE4AJvNffbCyYi2xi4Sv2F1fo6zs6JApZUpmVRVVQecymu7+q1rEHUrYz3G6x+wBOGQCaAghiJoirYEmTaZ1whIb8PGKHVUjhwlDN77Ww3DnLUcP84ZwZvWOxEEjhUB3lYCpJOU/8ZgBBCDUvjgiiWVdoFKgDPKVMxX6cKL/UQkpazOjdh5ts1K3u5O0nHlwUitqUaNk4AQGo2SnoJ1rmDax2HEOcX5IiHrAj0vL5NC8er+OYOMsZrgmElqN2mPxpOZk0SLEoEQA8hLY+2h7pymiVDGoC6lsj4LURgmcRlpmhq7FNJMUMxPUn2/Pjuh2aSavp7N8NbSy0VoJ48VE1U/7HFSe4dtpFqJLLdWLLLBR/TQ93SXUtNve3Zdeuzdlt//h38AwHWAeJVddJc8+yydl5N7D+m2ez75OPH7p4Uhij6Dclcs12ki8XK84YMPfwmA5z/5lPVpdgQO7LquGHZ8fvmcpQBkauDMiBvSqy1BuBeL001BdUZdY22FkZ6ArRqs9BGqWY2RPpB6TdHXOfdGcs7rPQH5ylLpkEtQBZjDjFAZTcxs2cit3lder2+Gx2VH/MpYMT2apqmUCcfmpnlU+KZ1Vw7crbv1C77eiUwADhFQ6zcDhBIoOz00pjpguPE4PxGmrCQcUVmqiRqMAG+qGidc4DhUaEkzqSPD2KOl866ailEw/dhIlB0a4zHSMHSTL1370/WSz55d8uP/N4lr3v/+Ix4+SiVAu16xldl+nAaCpLMxBCK+qNIGHE4e23hIIcfBFdirrUyxVgjBo9WElQZoZTTUafezTUUllGFlI08eiqJxXRHl+G21wLYLnNh16eBoJLV+/mJLJziJuu6ot8K9sA4tzb/q9CE3Ny958eNkKGqC5emLlM43c0+U49pdh6IZYKodjzfJtuzjj3+I0jATKu8nP3rGw/OEWfhbf+v/5NsfpcdjE3GiuXDe1lQL2bN6xdmy4YVQtttFwyANVK0bjAi9LpctTZPNayZGmej4oGirukwETNUUeHLdGIw7lAlvw9gcd/O/Ur6WTIBbeBY47LpRB4I0mp0bDwpZR9nHmyTM3gT6uf0nh4naMAwFZ3Bslfb6eoeCQP7v4RMdn4SQiARAIoDkJ4SYDBliNgiN6ojzHQu4QzcOlQ1MqpZsMDJNAyhT3F5RBidqvdZoBukaK1tj6wyoCcj1gzEKM47UcoPPdj2n76eO+G43UZ2mm9OEniFkfPiEmVyp6nV1wKFXzkIOQrEqwA/nInUjwJdGM3WODGCzOhbEpEMTojj0rpdcI1MPDjTUenGGsg11rkO7LSobZtQNvWgk7rsdJ3Iu63nk8otP0uMrGMyOV/ukW9C6JVfi5rN7cUmUc+knxdClx7MZXMcvAHj2xZd8+6PvFcGQx2dt0Tq4/+C0aBn++m/8aT753d8G4KNv/wpbGdG6Vzva0HAiVGbTqOIgZMe6lFlNC4/fS2WaWi1pZVxq22U6X3LO6lmLrQ/TFWMO109xBY5K+gVfFeyA29dtwXShCLmc0DFNqnLA0BUqG5/GCeczR4ACUAppHJBe8zX04OvlyG0k4aFMeJNR6evrnQkCeb0e/Yp2m45lPIOxBW0VgiO6cFSIHQwZVTz6Qn2FCsJZV1N5j8o3jCHSS01qK00oX3wshqZRV6XhaCuFzv0BDafWcCm1/zhNvJTdb9kscPmG9lckASYwMaKIhXTjpwE/yijSa+KUR5yHL3d0ESs+Zr1LF1OeOduZL00m1+9L9mLvrUqwdK6nFVdklMINDiNBpe927JAm3wSLk4R43N6MvJLPUg+eWq5u1V+j5x5BOrPrdgzbFASeXe1YSwNxsZozSkC4fzYn20nZ2uPCyPmjtOPviPzok5RJvf/gAX/395J49d//O38fLWPA3/vsc1Yn6Sae1w3V0NDq9O/VyYzZjXxPbcOZMBqbhaE5STv8/Se/DNJrsE2LtXUJfCgKhLtS9kg74PaGZJQhhK9X7bmVIRwZi0cFUYMv1xYlWtTNDJ9H2d6h8jUXQkEPgn9rw/D17OBw2Id5+92I8G7drbv11vVOZAKvtwCOI2zBWmuNtYcOZwZROO8ILhTSRlSaIEg6oyOZSVrRFmchRY8ysnOOERurXFLjfShecnHyGCG2aAuu1FUjLmSjyciqqYkvU3f82dZTv0qjt767ohJr6uBrtHDjXeypq1akshNAqI5S0xOYiqKsYijmE4ox6yXGGlMtiDIy9DioZbowOrpXqQvvjad6JBqDM3sABDnPOHZcPk+kp931BcuZnNvJspfz1K5O2Ut/YNdflsylG3dcvXjJ1V7Khq3nxUV6HLseL3j16r5Dy/OHGLEyIn305D77ble0ALWpaYoXZSIEAUzbkUf3Ulby+ZcvONmnv/+n/+SvM7ycmERm/fTJh6z2qdRwrmfVpLFmu4ys7qdso9ps8AsRxbY10Wh6oZabaUS4TFilinvIcZqdd/7jf+d1zB3w3r+xTFDJ1qYIEKl4NO/ThjaXt94XlGmaeGUqe0xaG2+j0xzdM8elwU9V5eMdCQLH6yvNkNIw1BhB5cFREHBj0gLIKDvFAZqpKDZkcZpQElAqU5UUaLQTGEUtN+g4WrRAZWM/onJjT1myY9A0enTMJCNHoy2bKs3gP7sZeE5qkl1un7KUsZZRNUqgykxJdFJG63hvmOU5/3BTPtvoepCG5egHrDSs6ioJVHhSOuz8iLWNvM9INaSbpXvquLhOZJz2wZpWxFBD1xP3E7uLFCy2+2saEdpcnZyUJtbkPOt5Oq5nw6z4IVRthQ9wJTP4YVS8Enmwse+oLsVJOPTFkHW37zDiQbCYr3j69ILFMp2z+/ceMQnDc3dzxZPzdBO/+PSCKJpki3bB+Tod47yZoWa+CK0O05Yz8QeozYyZSMNX8yXz8/ScOFsc6QQoMQSV8euwp8uN2Zl5Y9qdrsm3J875mrXWHkrY11NwfdTdVro0p6NSxa5Mu1Cu0xAiHLkSJzmCrLUR/8gB4W3rrhy4W3frF3y9M5nAcaczL6VUSY2UMmWkk6LpQWYpEg/yYqQyQJ5EzEajxqGlSWfV4f20jkQ94qdD2aHJ6LlwyCpMYBhzml5RZfnuOmCriJNdbqlg3CbdgJPzlkvZ4VcqjfUAjIkQAqgMEApFWSYGT5SfU+sihkk3EqWDPHrHoo0FVdRNBgTgYojYLF9+84JqSuPKPfDxkPQEFstTFlXDRkZ0J8sHXIqC0OZUFZ6+Vp5ZBrgNExdZInwC6ooTcRq6fDWyPhHgzhdbLgSJuGLJtezw29nI9z/8rryuYb2eU1tprgKPH6cS4IsvPLV85OlkRi3l2KNHT+jF9enmZseyrTgRPYC999TLdG6W9YbWpAxDtysmkz0OAzaLV4VAiKCUKDu5QJwky7PTGyW5imbAG6ZYSqky4tPqIOl1TICLMRLNQXfgtgOR5mj+XXZ72zTFhDd6l447D8E4ZAlfl/L/YazJv6kN2Qnw3wK/SvoU/y7wu8D/CHwH+DHwr8UYf6q7yJvSlghH2oEGl5VrfWDKVmHCOowFmeULPPjkbMPlT1KtiPZlLOj9QUQjKoefusINx0PMdZhSTFIfG6VpZMQUh44g2oVejUxuQql0g8yj5dH3khR3S01TDCg7VMhzfdBEbHYixuOU6BuornSNldF4CVxa6SKZjdIM40iealpvyP9QMeCyXl3Xc3OdRmdN810++3Ea6TWbPR88fMi6TQdweXNV5NX82KERXb0YCzFL4WhFGyGogctpKKrK95bnONE/vO6XNBJcpm5PELXn66nn48/Sd/Ho7D7WaFZLcU1aVewkCDd1zWqRbu7tZcdexpph/xQr5/Lzzz7nlz/8NsNeXJOWBw1/VSlsljxXkSCGonXbFL1IQiznNT9nyrBt74skWNPOjohDhmPH39dHdj5DvUNEx0MJW3oFIRRdS8h4giM8QDxc/1F6RQFVsCTKmNQvcAdCULbYi/FQQvy0EuFN65uWA/818L/GGP848CdIxqT/CfA3xJD0b8i/79bdulvv6PqZMwGl1Br454B/G0Dsx0el1J8F/oz82V8lSZH/xT/E6331Z0d+Asoe5uLBTfgMsCeilCaQUyNPLRTdprJUoqgy7i+w8jfTmCYKAF53xKHDZFTRFKmFgRJqixYCUBx2B28CWxNkUjDFCdVGlHTuh27H2XvfB+BaeRrRCZh8JLcj/RiwShGyKnCYirio1o48vu5cKNhzpXSRujJGEdVhBqxDxAtiTi0b4i4df29r/uDHqQR48eUOs0oNt63b8vJ7V/zxDxOCz7uIk7JpGvZMney+yrLbpalHqxuuc2nk9uxvrhjEHUdVOxbLdNDvzR7zUhSM2ro+oA+dRgmO//373+aHP/kDrsQQddPU/MFv/y4Av/SDX+PTp6lhuVyfsNmk6cCzq2es7mVz1y0Exck8lSNXbktNSvsvuxuakyz9VhWUoTZVpvajo4CzsuGMcok0kj41N9fp2hqGnsUyTRSaeg7EWxj/Ui6oUo0RVCgzfx0O0wVtDeYIzXdMFDouJyAWPQMVFVFn/QCNtgd9A+8cwWehUVVKCGJEqZ9eAhyvb1IOfAQ8B/57pdSfAP42yab8YYwJGhZj/EIp9eBnfgeli8aeMgaXCSAhEPPsT7VEJrJGYVXBXMhBbTOjngmIZx+JchG6vk+sLiA0joWZ4TqBtypT0kZjNV7q1thW0Ak7sWropT+hqwZVTTyU+vTVzY6Xr6T6MYZKkITOTZSb1huCi0XSyw0dVtBjKtTkws/3Q9EOjHosfQNtUwmR1XMn1xf03eADWvjkIcDTKR3/ZQ/jLol19GpPF3+XKJLlf+rX/gQ3Eiy21x1TzI2AlknO2T4OPBew1RRGpq4jz1/31UTVinXZzjHKTdDGqqS2ja2KQMuzy+cMU2C+Opht/skf/BPpM5uW3auUws9Xc1bL1Ol/dnHBUqTAb/qeH/3kM7735DvpMJslbkjH2Z6dokQejWpWVKiTop+kzzr1msq2411B8gWvMpCQaRy4eiW9nlVgudzc6ryXUsHoQ6/AKILKweVgqRdQt0RKsssw3B5FctSvUhwIZGlEqcoUzNQa7Y8DAkd/99MnCMfrm5QDFvhTwF+JMf6TwI4/Qup/bEj6Subqd+tu3a3//9c3yQQ+BT6NMf4f8u+/TgoCT5VS70kW8B7I0Py1dWxI+qs/+JXX8hfZFY0ukS+EUDqlwSet1vy3IcRiHda0bckEPIpG2ttbRfHyayvwArTpe0+3HWgQDEJVFWKHxoPssEaDamSu3EVixizoGuf2GCkHWgtzMayodhHnRIwTSsMILDrGYiJqoibLDvU7d+BL+Iq8KY9xQGX6tFX44OnE+suoSCXYd7fv8bItGOAzUTnqlaVtU/qs6oBqNVtJJzsPM9H631/11Kv0WnWAutYRAAAgAElEQVRzgmlSJnPxxSdMgqi5ciO2c3hROjI2MJcG6qKumU6EVn3Ts3+aSEb1TPH8OpUJ8/0MXwecwJafbfesxcL8ZHHCg/PU3b/aX7IQYk8YHKNAu8839xi2Hdciozav25RBAavTRyjJkJRt0Fl3gkPKnIA3EV0MQ+LB99K70sDTxmZoCLvtJd5PzOdiZlI1h86/c5icsaojspDWpWEtOqNlHZuIHvsL3MoKdCwljAoqeWSQ6ccKJVBnq00R1/XO3WoYFury15QI38SQ9Eul1CdKqe/HGH8X+E3gt+V/fx74z/kjGJIer0wDsMaUIOC9L07AwXliOfT0QW3m7dctWm4WYx1VI3h904BKN4Se7QmivaZ6hxsUjaT9wViCpLkNllZGVGF0jKLjp0xFlF5D7DpqZWiF277YLPjgg1Rr19qSeU0qgpcvavADtTIHPQF36A5XlS1SfLVRRC/HrCpQKzkW0LORmfQb9t2+cBystUwi870LDiPmH3s/0pNQfUujqOuK9WnqETRtQ3suafNqYBQC1XIZmQSQ9GBzRrhOo89+0uwmxW7K0ugNCxFVOWksJhuu6Ir3vpsQe9fbi5Iy76eBfpi4fpmATFOMVKIR+Orzjzl/kAA+zRXgU0/i1375O+xlImONwlnN7jp9ntnSUGX59mZGEGlzZWp8zKWdxZZryRHClMF4SWMwl1rBE3yeiFBuQlRkHLryHc4XK2Yz6RfFiBdzVW0MVTYPOeLyBCLhCAEbj7QBjlWEvfdvRPxFleCCXykP5EgLC/YoIIRwe0T5tvVNcQL/PvA/KKVq4IfAv0MqMf4npdRfAD4G/tVv+B53627drZ/j+kZBIMb4d4Bff8OvfvObvG7uzKRZrLyXD8V8I8QIOke4AETm4ikwm80Lc7DSBrNIKfAr/YIQBd+ufTGSsGJh5tWh7NDSTPNRMY3CfLMW2whMd4jEShx5mz2mqRBtS67dniCoFFNZbH/oAGcB1Ko2xH7C9DnimyI9ZmwojaU46NK8CsEQQlZTigxjRyNZzqzZ4HvhEcSxgJCwloX8zfNdVwBNi0ePqRfw4H5m5VVYK4Yl+6lkFS70dHvZ1TDEIdumKVRV08jn8cOI74WK3CrON6m0GK+2+Lk0UBcrul06xotnV8wXK0axHrve3XAhsluLZo2apWM5VefM2txN9+wEtrxcPGJ7dc1snlWLFF22Zp8CWpSfjakLD4Cj/rtSJjFB5Vc6TrjcaVeJWwEwDYEqU3mtJf2JMDm7bWnUNk170Kfg0HDUxhSKeLSaGCm4CxfCATikeCvAqLymUm8sD9IR6ZIVKHOAICvvUP84UYlLTXSknKqUKqkZPhRMfTxqecaYarC5pGZNMwORx8LXNDpx+xeLC67F6HJydRkXWjsSKleEMAZ/xZyVvL8pHeXO9dgqG47MUFEuNLvHzDrCQii3Y8sg7++GkeiyUWlf6Ko+BrR2jFlzsKqZ8ohu2uN8FhiZo7PwyABZYtxU0NiWQRCEFeFg7c5hlDp2AzvRUmysxYr9+KzyzOcnzKc00dBuxGcdFa3KuHXyHi/d7SHAS7nRXBMZx46V2HYvTORGJMObectSzs1sueG0EV/EXhPENLWarWjnNbRSNvTXhHl6rV2/4/qzFCw+evSYXkhK2k48eJDGhd557p89YC6kp+XcooTv0e92LNYCsKItfSSMKXdn3/eslsvSFg9OFw2AEDxKJgrBeUZBPFYxYmzEZ1y/92RDqBAVbTZfUceyX/FoRGiTz2TWbfChCOGEEPGZJX/kMnRsSJpe+6vlAcgosVCcDxwHbY+Met07rjEIR4hBbW6ZJ2a9NOdcibyZby3PZNYumbUpCCSXG5mtuoiXGw0TCJWIXQwmG/qmMQzhoPEXfTkpU+zJupC1qfDCPLRaEwe5AdslYdaxOZUb98UrHknzaAgO6w7OQqO4+EbAMJXZshunIsSh64gac8Noh2w/mKkihHRDj6OjPTs51ITB4aIw8jSF6OStIQhtTWnFskrHuKw833pwwkr6GvvnF1jRoLt3/yGCDma77+l6kQ+/uiHIAY/dFatZRSXH3O12dHKz7EPk6XVqBp5uHhRose4o3gBnj09RwbHYpPf/7OkNMTMkdc0kO/HNNDAJKvBkWeHGYyTfAjtLx9aPPdgUbK6eX9CIE/HoJ+pWLNWMxjapkbk5OaGq6rLBRGOZcvbjhiLzXpRjSH4Wvp+w0iMyVcUo7kree4hpfDmbzw5NuOhvQfistUXwpjIHAtE0eSaXszeFP8oK8nqTiEm+DeIRvVCFYx3C2yPFt607AtHdulu/4OudyQSKiuuxamsIRR7p2JIZDuWDMZq2naPF9trqqqC/QnSFZDNfNLx6kZ4zNw39lfQE1JjUXHJ5EG0xtYgqlLFiGCYG4f6aaLDCzVeuobuMBKGlLhYNo6j8NMbQitRXNCPkaD8FVDBUMlGI3YgfMppxjw7i/qF6JqmbGSOVlUzEBHA9U8i130HK2mhXIrtebqBN3fWh37EVdeDH5zM+ffY5axlRfnByllhVwFXoCZlKzVTGmG3TsCEd14mpCNFzcSGag1rz8Emy+X7W7RkzcMk4LoVM1FrNskmv+3Cz5nRxyqU4MG1mdZHhWq5PeHklegx+YN+lDOf+ySOCuOjYucYogziQgzY4MYnpdhdsL1KGsXyvIYhNfF3Pmc3SE+r5kraeMUmKrAi4KdvWbxmHTJQaC0knEIkqEjPKk0OiEIHtNn0W5yaWgjKsa3swNA0TIajSolAcRoF1bdE6TwciKqsMaY2yt0uDN9X2uV8Aqb+QJwivjxTftt6ZIIA6zFbzOtZTTzf94XfHzjBtWx/qKKeKXpy2mlxH22qOyR/XK4zMlVXcEoNjHA4jnoNMtMnIUmyMVFngo6Lo1Melpf7glP7LFCDe++gDzLnYe01jgTd3uqaN6SKcVTVDP5QAM8YeKyWM9xVRxDXRgThJQAiOaUgjNYsmdgEtTsBe1Shp7CkVmIQdl5qfImFVLbCSvj9/doPpI5Wk3ZvVhpNVSmedsgTRDavbikpm+c2sYtaLs02nmDzMnqQG4NXuC6JgCKp5SzZwsrWil2bgw8055NFb8GgDo4xie9ald9KGyHwmF6zrkogqMO5GVnW6ufVO0WygrdJnHqcRn4vqsae7Sufp9MkHGClz5qs1c5EXi8qggi8MxQhFsKaua/Yirrrbb5NTEIJNUYpJAnzwqkC9jfEY2USGPhZy22q9YbFI10LA49xYehdam9KqVKjSzFYqBXU4kOMAgjH4IwzBMbYgPU+V58cD9fbWSPFt664cuFt36xd8vSOZgCKzZtSRzLNz7lYZ8CbPtrZtZZSYoqcLHpVluo3GyFiv9mdUwi13rseYLOzZEfWEyzLT0w4bcs5WYWS3qeo5diZ0Wz2WnQ8XUauaihTx111L9S1B5u22jNKBnAycjelYBhXxY8BlCXIb0LU0Gn2LFylw5cEXkpE+KBwzMuwdzFKq284WjFmc0mg6JantzXNOBNO/aCr2V2mH+/Ji4EEb2YoEdx/gShR89DRgcie5glEo0k5PGCVGJFhOTzb0Lr2eqeZ0gt67p064Umn3f/rycxrJfp6/fFnKgXV1j13f8fI6W6UrVuuUVVgdORGTlG7fcXaefq73kZOZjB7dDY0ymJzqWgOCLFzPWhbyfGKWowVlq8PURac02eRUXRu8nD+jWpbr9J3bqmG7TTyQvo+oOBZkYYih6DuEGA4aAPHA89/eXBVTnMVySWWrQi4Cd1DFVvqgNKaPuvtaHbICn5yNgoDaXs+S36h8/PpI8S3rnQgCSqmi63c8J/X++IPpW6lQHiM2TZPgmXISfPAwHSDFMXdjmxMWswRnvXC/e3DIdSOKWRL6gNRDcOli1+FQgqiqKrLevakK+syFK9r5nJPVI/n3nKGRcePNjknKhtbb4ors+kFk0GQeTY8Wc06lV2Sz1abZ4qUmBlXkyYKKVHXDJJODvt+XcmCKKqEjAd93LMQvbZw7FjMpLfYDbvJYkx19PEYCx812D1P6/IuTGaOMO1/sL9nfpJt7VZ3gAKdSj2H0e7LzZz9VuF16zng9I8i5ePjghIVNtXJULZc3lxgZma4WK2a1jCsnx3yT0nY/dFiplbfbPf5EZvnsMGaFzn0QVbMXvUC7WGBqcVU2FaN8f9c3e07kO5vN6oP+BEAMmCO9Pydj0aadY+SmMzeG7faSQ7Uabl1zx8SiLCUfwkGbIATPbD5nLqPQRA7KIjUHqLHiAG0IQZVJWAhBej/pd8oYgn5zQMjrKyPFt6y7cuBu3a1f8PVOZAIcIaa897fslHMzNEW0Q7TN3mpN03xFiyDjCcbJFzUaGw8zWmUGIvIeDlAWk8kk2pBBBCFMMEljxTcl8qqqxeaUba0YdcTkefS6JfSpu+0ZmORYNnvFTrrmbhppDFDl9nJTBgdKrYpr0hSuUVaQgP2EVek9ehWptUUg/oTgimFK3cyJovZ79t45biNqPO6SfZ8+18K2eBcLcMV1HZM01l68eMbNVep0n95sqJYp49oOu9yApmNLv++4mZJSUF0t2N+k1/7si895dSXn1hgGKXmqasGpZEI3dkTPBmohdz05/wAE5bd/8ZRamqTL2aJoMCzWS4aQuAvNHOy8ohY8RgiKixdJgwDXczMXbMVmIs4OOAkvKkf7oG5585kjZJ+KiipnecpgpJG3Wp9QNZbuJp2bcRyKDFwIvpC2QojlOjNG46Yj2bjgC5qwnc3L+SeG4mh1TFjQ+sAPyJlwNmFVPhKy7sCRuOmx2vHbzFFeX+9GEDgwu/He33JNedPBG2OYiQHl68qwrzuzeOkPVCoSTU7fOqyg2mLUhOhQcuGpqEs67eJEUNkBaMILOxFr8U5OdDujXs/wMU8kVDHX1BqMgG1mY6CTIKCymWS+8bFUMu+aoi9ahlb3NDLWwtVUMaXz0XWMhqKeWytNlVN7pakfpr97fL5m+OLH6emdIezTDf3ZxY5dPxRJsRcvXnC2lHHZ0nL1VIREXIMRlN/DzT1CLl98YN8PnCzTWPDVzTVffJHMRZ8+v0YJaWk2v8/cptT+08+ecdmkrv299X1ObMt8KSIhNzfMZunvzu6dU1UZFHSS0eHUEepZmpr4yuPryCQd9Xk7Zy7w6HHsuP7xj9L5awy1NFIs9+nEwHU0Ee99CQTz+fzA7UeVsWilKfYhaj7D1oZKrsfdbkvfZ5foQ7qtosIdIQFtETaM9F0ghCwEEor6s1emDKQqcywKosqdkdTIbpcHJSAo8EcCJcfCJV8HF87rrhy4W3frF3y9I5nAIXU5bnK8bc3n8xLFjyHGx6+TV7aNGlG0m9S8o72P2qeU3VYTkxvxg8Ar/cEaXNmq4Bd8pMzynbLoOj9OuwQyD4+jxwpAKLiBubxuULEoFumoCaNn6FMKb3TA7SUFdR2NlbLBRZCGWTSqdJpxIVFfRTrLqYhpU2Y0tAZ7kh4v12c8FjFP+2JGvU/H5adP+JIrXnVZOszhnMCOTzd8+499mB4fTWa8d6XJZY3lo29/WMw7rG5YfZBS8+9823MpU4doDfsuHfOnn2xLB93rnmb9HptRPpt1fL5NpcXJasX9s/Ra+23PySZNWsyMUsI1ak7QmtlGpj03Azdi8tKNA41MCnavnjM7S7TkMDhGef+60YxjhnOna66V86fVAWylFKVhaLShrhvqVeaVHOC5wzCUtF0f/Tz4QDdmy/iKSiXLN0gl4WqdPls7X0IUYxgMNutM6CP5o6hQKhao8euNcpUnFfo27Pj4b9623pkgkFlcr4MgjjnXOfVfLBZlOpBVX98GhvDu0PVtxexiefqAfif1pdaELhRSUiJjSAlRzw8OSNUB/eV60CJhFWcVPoyozEKbfOElhMEXv7ve1Nghs1QcBE1mjUyjR0uAqawuqDQ1GvZCAKJdE6XTr3tNwBZHI2srjGgDzFcWt5A099GGmYCANg/uM+1T0Ln35Am/89u/w/Pnn6fD8SOdTD70GNlKHbuoPGcyLtPKsBRG5qJdslyuuRHBEkvFlJWI54anz9PozwdF3KST8eB+y7MXSe346cUFo/fFeJMQOH+ciF7TvgcB7rSzFU9fpNc6m7c0Mk1Y1itMsyJK5362brgS7oIn4GW6g+94OJfXalXp6TSNvcVRSXoA8t0Yf5Bx06roVGhIUxspFefzeGQW64/KicM6vvGGYSJGivhL8I6bqzR+nKaRxTJ9T1VsiHLNBKOKfL4WTcnXy4P02JQSIoRwC3HozUGb4G3rrhy4W3frF3y9Q5lASpsmPxV5J3UUV5U6dHTrur7Fv36Tj/vhiXki0BClyWfbOVbmteHK4b1CI9S56DCVTCrCiJLGUmBklB1+xDKrRD81ztDuOSrv/l0oAqJhCrj6SGgyHGidNihM9iYcHbV4AAzTwYm2sjBKJlDZE/Qi7cqXaqRZnBeAkt0sGcUCvV6vaFcCr10sCaICvFi3RRtfX41MfmDcpV32+cUVe2lMnp3dZ9il76K73jIXsNGHH37EXFh489kCP3oagd0+27/k1bVInYWKlYi7Km9opIN/EyztXFSemhn9FLiUTGJRG6x4OSodudmm1zpbtyxk0tG0gUoyJx0C3urSGGxsU7gX69mMIBnT429/xNTm3X5iIc1TpTXK6MJTUZGjKVQojUE4gHhAGm2S9odoihpS205H0nfuaIe+7WU4Ta6Up1UVMGJg03e7ohw8my9phaIdoiVknwMdMerNTUNjDju91uatsOO3rXckCMSCDAzBH+QflCnCbFprFmJKkSiZX0UPwms9gRgLyi3ECiUgkHp+wla8+1zQEG2hyRqbuP4AYxjRWVvAe4LKXeum3KhxHAgxEsW8wjhFHA5pYP4s47CniTn9H5hCoM1jKueLfqBdnzPmLnx3oMLG6HAmpYyn3/sO02wJOgUBtZzRSgkQtEaJwIq3NZlWbRuF0YJQPNVsvvOIh89Sj6RqDK8yL6LpkJYEvYcv5ebufvIJ33+cpMJOz+4xqokgN/F22IEIfFwPuyLqsZit8YKEDN2IlcttNT9JGHcpQebrWfEVXLc1ohjPsm2ZeiHmqIlGJgiDn0BF1pv0+V998hIjqTnDxMqmn9ehRgvfoKZhkO9I2YrGVEUrQhudaL/I5XZ0zWlz6LrHeNxtV2gpDYx1VFU6aV5RyoRjWfLc67oFKpKXCiGWIOK9L76M7Xx5kL83lqB16Rfo1/oFOhOIjvUEXkMcvm29E0EgxgNL8HhXT+Ipwvyra+bCfz9uBr6eARw3bFAHAUmNJ8p4Rekasv5A2+P2W5BdWtfhAAmeAtFlCHGgbmQMqBVxym7DI2EcUDkIRIefxJ0IRSU898bsaYXwM8YFY9/Ri9hpUJFemoTN2X1qgdC6yy8wUjc6H+ll3LR68j7VyRmTCH0mCXKB0PoRJf0Sr01xVgpaFc0Cqxzt3PLeH08NwMX6lOZF0oPdjVtO30/n5pPtxIubNNZrakN/nW7CcHMDVV246hhARFjnzZxGPABe3nTs96n34tzA/ibD3WasVgcFKBUcCxn5Wu0LytH3HUGagUSw8rnivCbMDohJ3weipGnT1HMmGo+ud2x6GanVCWUJCUcS4kFXsDLmloNP3q2NOXYbDrKbHzkXHbtm2ZxVaEw8jPFy0Mg6gscN8LxCONYYPPgJTNNYsoLZfEE0FUH6BTYe7PbUkQfF1yEO37buegJ36279gq93JBOIt/UCciYQY9ECbOYzjH3z4d7a/TnODlSyFAeIjuAl/VxsuBD9AVRMHXzZsZWNeElTG6Pw3ZHKTB7DjK4YncZQYUKq/wEwYEzaLSpVw15SQ+2IrXT6tcHMWqYp124Ok8nxyxWzkzTFmDbn7C5TJlC7SzYnYi2+XjI1LVpq9DhOpaY1TYMSvH+jAs4f+hs+y4N1W/QUWEi9Xp/P8LvU+V/PXhHqVJ+fPpjjL7dyLjR7qdWffvYZzaYuWpDf/e6H9FJ73zy/LpnAs+4pz18lebAag9Xp+He7K1ZLzbJK7zmrG+ZzyQSULxRrheeBZGzeOmyetGhNO28LmvBkc8ZMskQ9Ob64EJX7OfhdmprM4il1RvJpzTQ5jHzn49DTiGGL9/5Wv4nXJlVl/BfCIXslYDK7qzriATiPli8mlwjH1+mbCEAxRGLInpkH5eNpGpnNFtT5OzeWYPLniUcmvLwVcfi29U0NSf9D4N8jVVG/RVIbfg/4a8AZ8H8D/5ZYlL11HSQg8w19+N1M5retEIUgtUSOn/OmV/zqwXqMNMaUXrBZpYbT9csIFrQ0A01VMwpUeBxDkXBa37vHVnT0qmgYZUZuIpioqG26CAk9VZ2NS8EJO69u5+xE1EM1c+qlYapEt39laNt041en96k26XFNgztNzbsYrjFSX0/W4rTGSu1IP+Fk7u3dnuVKtPpNRE8iasLAmG3DbvZUHpbSF/Fri36UA+cDfJVKgAf33ufZRXr8/PMv0dIIe/bqBjNo7r2XbuJ7D85Qy6T/FzeP+fSz3HD8La62KfCsZyvWIvu1XiyIZk8ltmizxaqMUrUOnEiw215fYnTWVmjoxdvAtmu2Nzec1en9L64vGDISb9ijt4LSHFbsRCZ9PlsSpD62tcZ5zyCy89EcCGhVVd1K2TOZC26Pr483nlT7ZwKcLr0jZTRBNBssSqTO33DjH22CMcZSjoQQi66m9w4/jTQz6RfMlqU8CsaWhqXRBz+F10eKb1s/czmglHoC/AfAr8cYf5VUGf7rwH8B/FdiSPoK+As/63vcrbt1t37+65uWAxaYKaUmYA58AfzzwL8hv/+rwH8K/JWvfZXIrVGKL409xULSvKZpCnorRt7YECwv91YVFYm8yhYloapVoANW0tlx7KiEluswaNktBzfhiyRtj8pcAT9ioi0RXxmDEd0CrymGmE29ZGJd3sP4GbUAcZrTNUror6pdM4ly7aACukrPmcaICwe/RO8D42XqnDfeFg2A/voZVy/l75ZrTCuvaxQzmUB0vefzj3/M6XmaDjw4vY9vBJdvd8zOH8hnmzFrs7JRVUxF9td7rG2xVdr9m9kG5Jitbbk3im7ArObLL1MJpJoV21epnPjW43N201DKiXq1LMfv+hEnKLuF8XhRhqoqzWa+lteqeUEgyOSjmwaeXwqoqKnZiMKxGXqG63SO7CN10B/wEWzE6Jw261sK10XqLsaCLLTW3moKph07794Kk92hiHhp7KmginKx1gE1jaXp573/imQe3G4mxmi+khVkotI0jsxkzN2089IwDMaU0sC+NkF42/omDkSfKaX+S5LBSAf8byRT0ssYY7YM/hR48od7xUMQyLdwWzelVjNfU9PA7SBSONRfEwvqJl3cHduEHxBkmBtGlHzXAcVEFh8ZMOLyEieHz13akFxril6drqjEoiw2MokAJhqiBA41zgnzGapNv3PtHCviJaBxYnw6ma7Ul5VSdDJBsHFC+R3Ti3SBh1Ghsyux2+GQqcNQUT9Kn3PfbRGxZFq7ZL26z81F6jeMl1tOTtMNXc1rtHTqFYa1SrDbb5uWLz9PTL06NpydnZX61FYb9iIqMjAxX6fA/a3HD9iJcMhyMWMjegab+ZKlWbAbUuD54rOf8FhUiTcLU8Z14doxtjISM2OZkXd+AjtHr0UwpW6L70RwA3uRll+vK0yffn754oLz91JA9N6hKor77zEatW3bo5m7LjfqcboOuZ4/QIpV8R2IR2PB1HtIL6awzaw4GJFLOXhjMMg/Pw4IMcRCGvLe4TO2ZhxpJSBUVVMCQvwK4vDN65uUA6fAnwU+BB4DC+BffMOfvvHdbxuSvvpZD+Nu3a279Q3XNykH/gXgRzHG5wBKqf8F+GeBE6WUlWzgfeDzNz352JD0V37lV0oGH1ElTZvPZ1T2MJsvs1DFWxuDKYh/NfW5xUcg4iX+TcOSoXuJz0ShMNGElH1E46myNXmYyix5mgIm88e9YRqFbITImwU5rbMWxBRluzugD+vWYt87YxCAiQuO8SLtslVsWG7Srmx1V+zYg3M0UsKMY8fUD/TPRNnnel+kCdbrioXsivrk5MCdCC5rrqLskvnitJBOamvwQXaoqSeIspBpW3Y6PZ7fO+GRIO66qy2nZxtixtuHhpfPUwNxtlqwEJ2AD7/3UZlUGFWxbFM6r12ExoKoJg3jQJCOuDUzEIDX2ExUleg06MhWmrFqs0pTkF5KsC4wk9Ii2MQNAFBxohGs/sXL58zPUplT1XPUGBiKqQRYIfCEEG5NB/LjN3FajsVujw1HQs4QjC6NRecmvHdFQYtGQeaIqOkW/fd45fdIVuYaI3iWGGKZHCQNjkPDMJcJ8Rhx+DWNwW8SBD4G/hml1JxUDvwm8H8B/zvw50gTgj/Pz2BIauQLXS2W1LlrfJy0qEPf8+sgw693cEs3VjnmJyn93H3WMJ89pL9J2YiuNNlF1MSA7wS2W7VlDKjGhOBLf5+cb5XJ04GRaUjp+DSD1f0E/KmXEbeVC71piW3DKIIbfnvDIMi8lxc3dOcpCCzPN0yD1MrOFRcZFTzb51v8ViS/lWErTj2zk1NOxQbsunM4sV7zfl9MTZyvmYaB9WlK9SurubxKXXQzjtz8XorbZ99/wvJcIKy0LAW9uNisqELP1Yt0zD/8ez8kCDz6QVtjNqm0ee/9D1BBhDyeeSpBSCrjMLZlki56u2xKabAOljqrRc8rnHxm7S0xm8poqCqFF6KTXS4YRFRlNpthSe8/n7fMZSLRru8XqTCrIUTFKNMBrRX9dLC+y3Ijxzf6NE3SBzh093Paf6xpoZQu9XeMCqUOYCHvTVEijjFiRXchGFu0JJV3by0PjgNRAhjlADUcBQSHKwFhQd0c3uNt62cuB8SS/K+TxoC/Ja/13wB/EfiPlFJ/AJwD/93P+h53627drZ//+qaGpH8Z+Muv/fiHwG/8UV+rRGOoLccAACAASURBVFilaIU0UtsKqw/pTCglw2F9NQu4XSbc4hjIfzW6pEe+iqh6j5Kd3cY2ZQNA8DPUJN1l7w/mpN4yScNlwmGsJWTb8qpFyTw92lhUgJuTJbO5zJ8VdNaVBuDcNKhGpL8+OmGSef7+5St0BjFFypzb7Ub04Li6Srv8arlgdpZS7V0MvBIjjKsrVUg7U3/Di09TVnO6hovrH3L+XurZLjcbkFTf7wNxKw2n5y9oFsLHX8+J0jBs1vdg94qbjz8BYBw6tru0+3z3V/4YVjKGfdfx5MPvA3Bt9zz9JKkPda7j7P6Cs3vCXZhptFh6uZtLdl02b7HU0rV3CgbBclQ6MqtqvKgXj9bTi3SY9bDP2gDbipmk+Yv1plwBJlmHlKYrPjJJ03VIbJz0d159Za5/XBLkUuE4E4gxoqW0jKjCT4hoMLqAdqZpPGQ5xhbPwOBGlGQFb1IGOsYw3M4KjmHHB4BRgR3Lf9+03gnEIFBOfFVVZSxotD5ov6UaQNab+gFfBx6St8i+bH6FdynlNU0EPaKkYHbKoqWONqrG6pRax3hNld2KdYurpYZrbeI3FOBHRzwCjiiptZUxBZA0MhDxtDrLgbfUlXS3K029TF+Y23eoTkgvUZVPGOPAvLI095J68tXNFcPLlJr3VeDmIl+497kRxN/YXTK8kHGbecVqvebVy8Tvn3TPepVe6/rVxKtXqddQn0ZaEf6YK8e1TMGmyaDbGecfpiBiZi1Vk/5uuTxFSYQNVjGI5HioYC9p6sdffszvffoJ3/3eL6XXPpnzUMhh85U5cPunPXnyZhtLkIBg6znetAzCBbjutnjptndofJWCo9o17P/BTwB46FuWj1LQaRYVSlOuLaMPHIFpGLESuPURQjWXAsdcgLexBW+XoIefEyh8i6pSRb3auamMG03VHAWEqUwTXu9J5J+9/p5vRxwOvG3dcQfu1t36BV//H3tvEmtZlu53/Vazm9PcJtrMyMh8Va/qNfZz9zAChiB5YiGQJwbBCIwlhGTEFJ4YW7KEhMSEGcggAbaHHiCBZcliYoMxxtivXqleNVnZRsSN259mN6thsL619r4R92ZlNX4OKe+SqvLEuWefs9u1vu///b///x2JBGIJzZqmYSHpgGbG3VZTJKBQb82KXycS8KJa2YZAm3Xu7RKMpxWLqm13VToPVYxEiRA8I1qAHOcVSMjLwhBioJIly7keI/JWAV0IMb3vSytz113hhz2V9CX0usEKUBnoCw990JpBOOcrVWGkf/96d8LVyXnpqowhshGQ8PDwOBcB6Mc9Q0wrwNX1jlUllYrRw2WgWggw14Jp0t+uxi/44avP0/c+fkIr3PvVgUeL3+KIp2ks66eiqWAN3osNmjEgnX/1Yc24l45G41BtOv79cM3oDS8/S9HYk+0R6ycJDF02K1aSwsTRQszU3lgo3H2/T61yshKuTcNKoqwrt2cUqTGuYS3g2YsffMKDnaRz3/0Iu9Bkeg8hFLKPVhqf/S+duxHyf5WVVx7zz938fCIhqThFtrqoEpuSGjg3lgrCm2nCXdJ7X5d2fNd4RyaBxMgCWLRtwQGYhTk+hpJfwddjCM4rAoHIdP482ojLjHmMrh8w5tzf9WhB950bspoUIUCQpqNuGFgKk6/XGl2p4mUXfUtznB6cWrcgvxNUzX5IxBmGLf3rM8RvhF3dMsrOtStNlNw/dgMLaUsdN1u6bXoghsHRrJdsd+nfL16fMAp3fuevWS6zJNjIxSaFxr/2W3+c0xeJRPODl5+y1A3P3ksT2dhbhr1IgsWe5aH4/4WRXm7IRaio46TWG+oGLaaDDQYnqdKu3lL7jLTrYpQ5+Cu2+1SB+PDDZ5xf9oXBZ1zg6vNkZ149/RbLRyk16ePIfptSE10pWiEn9VYTvKcVItdy8YAfivSZ6y6ossdg3FOL7NnZ6xMeP0l6CPt+w6KafBqNMYUxGEMo1+K2e+y2FODN13ncqEjF1MwzNfQoQsiSdhplp0rDZMLrysSvjXmLcXjbff9VjMO7xjsyCajCDGxmjUKaN7zWuXkhytY3m71m788+pyKVPFBRBbS4+WgiMZ6Ckg6/IRQhhqZucPI5Yx/jfRboaAuvoNEN3mhMnVYy07aYnNMHXVb/6CkCFYTI0lRUoonfNg07KZcNFzuySrXuR0ZpwLl6fca1vK4WLTEGOmGBnWw2ReTEjzt+7fg7AGx3O84FK6g+O2Hv0oRwvn3NZdAsjmUlf1FjcllpWdPJxDFcG86+SPX/oye/TRTwzi4UISo6iVhie0BVWLOKMdObfYMSJqOlY79N33u9uaZuV6UUbJRBSWFOjx1nLxLgWC8stSgbudizle2bo4c0fqCWiOMHP/x9TndpsmiqBatVmoTff/geh4cpwjlykdUDcSVuGqwxNEIvRk2sPf2GYM0kdhOw1pZ7c65pcbNEqG4BqydMYX4/T73+avLEUHqGFegSIaANtlkQcpnYDTd4AreNNxmHd417TOB+3I9v+Hg3IoFZWbCytvQJpLU/L/FhImHwZjQQ3wrD3nxtCTRiOEIVipz2cH2Cv/oSsvTUoEto7xR4We1MZakOFvJzJksL4Cqb1GnFwtssnzKYbHk9oHNoz1Bkt/wYUNGTdbSGRlF1kvZse6I0I12dXlDLqrA7v+SluN8cHz9k2++42Ir0lo6I3wWGyKcvfgKA1g16kc7rF59/gRO3k89OXvLek4YLaXO+OO/59tFH8l2eyqbj/P4f/BgrJcIn12dUco3MoIgKbD2ZsewuN3LNRiIJnxjHwIGUplYPVhysxMr8as9m03H49EiukaURZaK20Yx9ispC0xZdSKUCo5jGLnqH6gck+CI0ky6jibC5SttvDhzPn387fWi5KI4/pm1TeJ0RfUXx+NNMqPtcxi6H2W+u+nCTODQnr92mc3GbBPgcR1AzO3FV6RsVBO/dVDI2ZiIYfU3G4V3jnZgElFIFE9BvNArdpAfn1z9HM5FsU8UJiBmiYnMtpbPtFYwDJkzyUNm9NtSWRqSgI67U/9ENtYByAaiMwog2gIoRJYKYqBqFOPl6B9kSTVv23Y7rjUh3PXiA2aec1u8Dm4szOdxYdPgGExiFFXdydsKm33N+nXL858+fsRM24Cc//CmbfXr/u7/9EVWb9nPXj5xcZ3szw9aNXO1TeP3t419juU4PpF4YBjkX6Iaz0xRmGywxayj01wxHijpr4IeINenBG7oBkId4dOzlkjWrNU++9S0A9gHOTl/jnKQK6zVKMI1uv0n2b4DWPVZES62qaSV8blVDRJeSo4sBLf4G+/0VToCc1+dnrE4SHfvxd77LkUxIxlYYW0+hfV2Xh62t63L9tdYz+XH91kN9Y+T3Q/ZpevPPN1PZNwHEOGMZ5qGiLg5IWhu8H0t6EAJ3Mg5vMyf9qnGfDtyP+/ENH+9IJDCbjUIkCHtPGXNbLxDEkC3gE6CiuBGO5WGMKeFkiHUx61AWrJBzquYYZbbFONK5WGSnTFuzH9KqtqiXaKkOaLsgaKkuLBZYpdCyynvqSYbMOBR5VVF44b53g2MYXTHTGE4v2EgnpY01URqQmoVlJ0y40+1rLjZphV8sj7je7pKNOPD5Fy+oq2Te0b2MGGmgGXYjzz9MkczV/iWHshJ+sP4OX178kM/O0vZPf9NTPUmRzLXfc1XcbCp+/KOUWvzuyRWPpadhcAMhjAQvpdDuNRnz1BGuLtP3Hqwauk1aoQ7eW/Hg/bT9bnBEFK+/+FG6HrHnW08TkSc6h5WyVqN8MdKofMsoXo6xUoSmLnbsZ5+dgoCWKE0jjMH9bsfZ61T1aI8e4g/Sdx0fPyTiMIJmVnVdKjIhBEy+l+DOcP4t8C+zBBVsJLXcba5KOtf3PcfHxyXinTcd3ahihTtSi6DfAA3HOxmH/isYh7eNd2ISADUJNIRQ9OCdd+is4vrWbJAvjr+hnzYXhVBKYSSE9NoyyucqHViLHFZlVgRafO5iW7ZTp5euaLOia93Sy2/WzQIvNXddt2g/Y4YFilsteEady00WIzdttX6IcQOqly7AzXlxMNpcXrMQ7T9ztC7WX9v9Bi38gzFEtntHI115odf04ji8ODxglJswxoZlk76L7lM+epxUeJvoefnqD7nq0j6/2lzxXBqNnIKdhP1N2/L0YUpTXn72GSvBAGJjUN6VKkY3RrxM3G31mG1Ik8DLz79kIaImnWtZi0T4d76zxF/t2GmxEdsPpdy5bGpEBQ7f90QJzW044mybeAVH33pC6PdYlfbzwfKA1yL4YpsaIxZxTVVTid1zGAasPFD7PlDXBkS8JKqOlTTavBlClzvrjhJgHtmQ1MXIlVRX/uB7/wy/S5O40Yan773Phx8mE9fVajWlwDP2oTFzqvLNkqK6s4rwJuNQBEbccINxeNe4Twfux/34ho93JBKIjGOWzgJTC8h2p4ows/cSHXv60ywSIHnoAaB1qatCz4vP/gCAsN/gXCCKspCpdZl9h9FxsEyn6HrYE4RVF02kzuQgZwjKFHR6UioQ1DhHCEpDZkUePsTriv51YuY1zb4YVTa1TfJXgNvnBAIeHb7Hi9MEJP7k0y/RdkktakSxH3GZV3/c8vqzBCy+V32Lv/+PPwZgZSo2AiSqZcXjx7/Gi8ukyvv3/s9/SLtKq/xvf+fbHK/TcS6WhuOjlDb9wY+/xwe/nioITWdQ+57QpIhDq4bdhYB8i8CHzxIA+Mrs2Hfp/eF6KCCtHiree/CE8OhZuhqb15hdAmq9OpyiNzcUEk9wHe8/SeDl4C+w1SFLaTlunqxoTqRpyZK6rQCjYSFhft1vsU5SBtcQ6xonZzfsO5CKTFVVN6TGSjg+iy7fHFprMpaq9OQl2V+dsz9P16JSmi+6HZeXqaLz/Plznj1Lx2+tLVHBm/JmE8nnJuNQK/0VjENhOZrFjTThrvHOTAJBBImHEEuJpFU1araLc2R1Ynvpt3O1XO6JqqQRWlFUYHGO3fWV/PIWbI2WfFPVgSC0U6sNg5QV7fIII6y0aBdkZx+NTt1iGf2l7JpcMNl/BVFSg2AMQ6UwQj0elCnmFV47+qu0b8FHjp+lzzx8cMS53FDP3nvM5yd7Tj5PyPdHj48IEhq3xxW/dfRb6Xuvrzh/LQrJz56w34gJa3PMk8NHLCSE7ndb/tn3Un7+x7/72/yx7/wxALqhJ5i0Lz0DUTT2Lj8/oRoeshKqszaW5VpwFO247kVmfNVy+UpceK0vuTbBsGiXHB2LQnEVYRQbs/EalbtIlyt0ESXZF5eeYTzF6OcEYWM+evacT3//n6bvjiNBTEhthCjsz6tXX3J1kSa9Rx99lyUfMvg0wS2MKlJdMbTlWs4fznnInkdB95mkxhSaw1VKgZ49ecrL64RJhLGnvzjBdWl/ut2GC1Gv/vDDDzk6Oiq/eSOdzc1YIdxID9JvZ/GUOeNwmhDeZBzeNe7TgftxP77h452JBFCZAhnIoq61mqyhExAyp2zm+q16m2yRG42Umuy5mGSjCJaDVQLVzqhAq0Ip7rtLRp9m6Lpa4EOaoat6RRSDEFstitqwUlFSgUnsIK8XCj2JvEZKOBxCQLcWLfoCQ2V5+q3Ulvvq4y+5EkuwuIkcZr7+0LOUdts9A+1qoN3JPrseLSupqyK1AJPj+RVOwL/Ts+viu/Brz97n8fohz56mE/3JJw4vXgvaKB4sE0Hoy5ef4iXOfXz4Hlr0D450y+n5jhgygOtRYrhi6x6l0kq42R6wWKVIwHiNFamt/dARbWAhlN7dcIlVmbu/JzNlGWzp07o+v6IKkv60NeFxxAtPoa2XrJYpKlnqHUqUj3VoqEVzYLfdEPsEXl690OgQMQfpOBcPHxQefxz6klvGGIvhTY42bwMGPSMUu7oKI5Jo6weP+bG0ONdKURNxXYqStt2uRAUXFxcFMPzwww9L9DEnK+V7/OvRjuW6vEE7vmu8I5MAxDihl5ks0g27IgnVVG1OqeXEzB/62y8OUaOyJJWf3IyUqspEYXSF6/bEnHtpy2qRmG27/RW1OOMou0JJ+Kl1ldPOLGJe8v0Y4qR+otM+lP1iakyxxrJYC0HomcdIqLs8WvL+hylMPju94LPPPknnxPmiNOtchAgLYfYdrJdcn6WJS3eGU+lO3F/vWB+nppknHzxmt03pwMFyDTZyfJBy5Pef1nipDlztzjAxofurdcXDR98F4B/9wfd5JVWD3/ngfV68PmErofZqcVCcjKO22PwQBOirpFlQ27HQ8qrDmv3YoTt5wFY1eymRrleWcZcmDusbdhu5RQeFGiR8jyvCds9+kbYZ+4HHYtiyGTSNTPBhN0nVtbVlLaYmV5sL/MEGLUSqPqxopHJjULgxk5UMXq6LmWkPzi5o+h0dS0gdPATBi3y1on2a8JHh8gTX76jlxqkJjKLE7LodH/dvTwgPHz58q6T49RiHcp9XuuxzmQxuGffpwP24H9/w8U5EAlqbwtcPwRXFl4hndKJ8azR1XsmjLyvvnMsNb6K3s24wF9ECPmpt2EhYFroR3Q84QYepQEkIWTdHaKlU9C6yELKQYkZiepOZqShOygGIJRKIpZac9BAso7gUr441w6Ug99WKwwcSNoeOzWUGxqAWkGe3u8YA9iB9bhd3XIUE4J2+iGwHQbo1PBdLsq7fF22CfbenbgxHx+n333/viJOzFCW8OnnFh7/7p9P2dl0qEI8fPWWUSOTMDkTr8BJeq7oleIlq0MVfoev3XFymVV01jrW09bq+I1rN0WMxE7F7uko6JNXIQpr7TLSMOwFs+1CoyXpsabTjRZ/Spg8fPOSViMAeHjyadQQqjOgMNGqNlWv26NEaXGCRhU9DmOjpWmGzr2AEW+XqQArPb6u3a6rCGtYmUIlSQadrFo9SmmfbFcPla7qrFBlV0Ze0zQ+B3WuRV+t2XAsw/OyDD0pU0LbtrekBfBXtuCq0Y1W94+mAUpqlGFM43xUBhKjASWrgY0XAlc+br3z484WaSz2FkmZcX76glyaTcL1Dd0Mpy1m7wMhpsesD9GG6ua1ZTCQieOMCxBvv5+uQjFSytfYMXVYaHS1jJhUZcEZIJe0aI7JjR0dHeLm5x+2WpTDhjlc9p/st1z7hAK/Pz/Bi/jFu4EB8Df3ynPeep/1/dX7NF6+Sxt9vfPs5wcSiQ20qW5SAf/TTF/zOH/+TAGxDzzNp+jk7u+CRtN62xwdU2y3L3JBlG2w2XNF7RrFcjxg++nZqa96dvC6S4ShDrSq8YBT10YroM6lpX/T+3NYXvT36roiSbK9PCReh+BdeX3ouu41cv5a1NHNV7YJ9lyah3jkOtdxj+44RqJpUrjusFpAbleqqELSinsJurT3ODzPPQUUOpNVcBZiICC/zeLkkPkpMzqumxTQLjEjQD5cn7KV3o1aeWu5ZtzkvWMGn/e5GBeHJkye34gVfl3F41/iZk4BS6r8H/i3glXgOopR6CPxN4NvAx8C/G2M8V+kX/xvg3yR1kfyHMcb/52f+Bsm1FqCq13hZMb3rC+02EMqEQKywVt32VQjZU16H8lrpwHabZb0/BaHjjr2j8g4dpM6uaoaMTAZDlU+Rsel/+SdubROZ/fmNf0VcqesqrQnRTpRmDFrwgTpolMiftzxEXQoTb71kLb+/2Xt6Ime7dINc7zZ8JDX3re95IMy8vdlx/TKtPN04ljLU4nANRnEtzLaj40MGl1WGlgxSenz2Z/4Uj55Ld6H7++WBMG1LtVywj9LbbkfGlTD7lCv5p6lbtFxXFzWZprHQDeiKTrCLpmpZymQTOvDSKBX6HYv8cGqHk9JtcAq/G3j0gTQ9LReciriqMiOxTsffjwOj0ImNrRhF22AYRvrdRXE1btoFlYR2YwQrXaBGjGXT8TvGcSzdrsbWZE+BiCe7I6F0iSoeHx2wEp2M123LSbMokaVpV4xXiffRX55gZOGrVSTKcXZnQ5kQdpvNDbzgF2Ec3jW+Dibw14E//8Z7/wXwd8V09O/KvyE5EP2m/O8/5md5EN6P+3E//oWPnxkJxBj/D6XUt994+y8A/4a8/h+Av0fyG/gLwP8YU2zyD5RSx0qpZzHGL7/qNxRTb4ANtqzycdFMGn+uL+i4Ur70R9/wkgdSQJZnv0gI2XbHcXaeVsXry5c0mYSyiPS9Q0mJcowLxpCJQNXUdKRsKcPMKxlvna9ZjTDOJJ3mluvRG6KOhdkWUZM1+sGaoDOCXPH0vbSSXJ5ecLxOK9P5xYaHO88L0t8eHzxhKWHm4nGLl5XoweI5W1EWCs6jJNm+7q5AtVjpRTg8foiW1c8NA9VSSqHrNS+vU9r0rae/hhJz1c12S7NaUC0Ex4mOIGSrEMeJ1aZN0QW0VUsnyserlWJ0PrEoITX9ZPbj4YruSnof7I5BGrgqOlTuA9goFg+OcPLvw6fvgzRHnXUbguTxR0tTpLZDjOzFzamuK6yLjBKOb85eshD2YWurokUZ3EAjZcm+72805CwW6oY7li6p3tT+vmgbKrGGqirDQdvySnoUzpsFRlqBTbtmuEz35n57QS33Yk3A7VKEs+12fNHdTA9+XsbhXeMXxQTeyw92jPFLpZToVPEc+HT2uWxI+pWTAHAjvzECpumgiXJwvq0Jw9QMkSeBfNDz3B8BZhKTL53Q3e6KnYhyKFcxSn7qxo5q4UUgE7St0XJzu3pZ5MNRZuotj/4GJjD/L9zkKcyPLwNWSgFqUkxUKpBNOHVjGIYpNWqW6fWy99SL9HBWTUPd7nkiTVB1u2QQSy8VQwHmnjz8iI9PfwDAwfERP3qVLs3l6UOWzxoqufGfP3vG8/dTKfHjH/+QrdyEvYZGsIbvPPyAq3U6ZxfbK44PDzEiPBpcX0qmSplUJwPOzl7xSMJ8Ew2+Tw9Qf35BqC1WHlCFQmU+yLJiKZPd5fUrQnaHNQGfS3dbhd339NIotQ8DrUi6sdthsmT94oDVw4SPOO9ZCuDbX1+wWj1IQraAbZtig6ZMZJCFw3pTnIhDCGUiAHDO09Tpb8vlauZGNF1/o3S5r8xqSWUtrWAv8wlh1ywwTdrn8XqaENzYl5KiDoFeyowAP9ptf27G4V3jV10ivLXx99YPzgxJX5+e/Yp3437cj/vxdccvGgm8zGG+UuoZ8Ere/wz4aPa5r2VI+i/97p+JpZQx7wNAob2ElphiHx7i20YMBYBTk+uLQmOk3/Xk5Av6LgFuNYbRpVV1P6Q20OUis6xMSUG22z1Hh09kv3RBjb/ueJtrntOZVNLJYbOhLlFGp/aFpYZ2RcKrPTzESspweHxIYxXn53La7ZJPpcS4rGsertPqF0Lk6fO0wl8NV+UYm7rm9OU5HzxLx/bRh88ZZMXfjx0vRNnotw7XNJeigdBCdSRpwuEB3sdiaGG0LdbqmqlpqtEGLYCXUYogGmhhu+H6VcejD1L5TOsVQQBAv+/xIpuG8yyEpel8XwxQld+y67f0Lq2KddyhBTReKMUj8X/87nf+DDFM2hDTah1w/Z5GZMa70eMz97426Jjl432JBHK0OQwpGvJhKL6CzjsWi6Wc25bsP6j05EakoqZt6ll6YFkLyPiqaTnNgGGzwLSzCoL0HtQqCOMwRXzbbo/r0vHPAcPnz5+XBqg3S4p3jV90EvjbJLPRv8ZN09G/DfynSqm/AfxrwOXPwgPyUEzpwG1SznpW/zRaFyLe9KDlB9RQSjdMbixXJ5/S5O40NuSm9eX6GWa4KLqGfewYxhSyLQ4O0EGaUZS60wk5jTj9d5YahBu4QMYAfJqo8nFGhVGi268srdTMYzVVOi77gcVhurkPvvOU9auKb12nB/yTkwtauXGWreXB43RDbTY9SmTBl23LB1WqQDx8uKLb7Fit0jZeK4xoEVKv2exSdaA7u6ISPYL4yLJ6KJ83SS67FtchjCbIuY04GuF8VFFxLU1POD8pDyt4erjGSGg7jtfoA9lmHOh76SgcdiA6BbH3NEKbXjSGKwuVVCf0fsvv/vZvAvBPv/89Xn6S5MuX9glP3kuMR90YzMGR7K9jaY5BMIV1hM5NBrNWrvk4jjgp0doqy4FLejAEvJEUzlDSTufGIo1ujEXrnAJGzMz6bLVsqWRSr6uKgzwhtC2bjBXMSorjbYzD63RuXb/n4xkF+fnzNLk+evToBuPwrvF1SoT/CwkEfKyU+ozkPfjXgL+llPrLJHfif0c+/r+SyoM/JJUI/9LP+v77cT/ux7/Y8XWqA//+HX/6c7d8NgJ/5effjdu12t/61CxNYAZ6pvVSgI84OyTluLpI4ZT2gUpWK+dHlBENfRvwO8P+SthbakeUlczqlkoIOpFuakaK6gbSkQhD+TdjAfmYt5iqiliilbzC53BmioQMllH2UzUJ0AQwK8sVabavHx1QHTV8KLP8yet/zLeeJlKK14YPxBnoe5uPWR+kMPX1+TmtAGOL2tIeHXElhKlugFHC8cWioRHR1KAtowCT9cExWnoVrAps9z1R5777pjA4LR1RwlT2HZ2w3xL3IkUCi2aFjkFqG7DbXaJ0Nm8ZGKUVeVlrwnZSOdLSpLR1qQLRinFp23p+8mla/XX0KDFpOfv0M9w2febovccsvZBzjh/i27poTdR1S2WzXp2mlqpJVVWTEYgTRx8/6Qvka56UfcTL0g0lhWjbRYkKlApvpQdNljezllrShHXbctLkNGGBke1tu2K4ek13eQfj8PR2xmGOChZiJnvbeCcYg8CtKcBdn4HpoUnPWSDoqXevEDfiyMV5ImRUfiQKky301/ggDD08u/0VdkwXZDdusKSwszqKxUgD5Yt5SIie8nC/wR+OM7xCqYhWU0UgpwZRmIxzIZSMY+j8YcDXFUpUgJfGgYSmrlL4tuLw19PN8q3rjs2rhAlsN5cs5fi/++iIEyEEuf3I0eP0XX7wWNNwcZZuluXiIaFOD9vDhw/4/j/5fQCadkloc2hbYyVlGeOAXZlivCHSNgAAIABJREFUEAo6zVjAYgy8+vj7ANhuwAlWMaqAu0ph/svdlpXWuJ3k9E3PfiNOxG3F4TJ9b39yTSsPhwuBQRSFnYV2VCiZBOI6cikPYQyBJleXdpeEzCp0G7RPE2Xla/y6wi0k1SHQyMOmiSV0Nsaw2Uhq4j3Bk6UEhVAk4i9jKM1tXu2LNoH3Y2lGatsF1laz9CAUByaNZpkrP5Uppcd123IiacJlvXgLL9jdxjjcnhes4NNZSTFPBreN+wai+3E/vuHjnYgEFLdHAl8VFcxHDBEfciurLp720XVcSiRQjx29zJyMAzb7ufcdxkKm8R8tHhYFIb2oCEbsvG0980adQMJSpbgREMx03wtxKKAy114Nkr7kiOEmz2CSRKtpF5kEYlA202Z3mLrFL9I2D7/1UdHtXzWBtagNm8MD9lfiRfjkMa/EIOTXPzxidJ6novDbLNY4kQobu47v/M7vpN8foEVIPFRFOC3YBo0lmmzrpkCMQVS34eN/8v8C8P7RY3qh8wYViAJemUUFwXEs+7/d7VhoMYgdA53YjfWbK6hy9BHRdQZ2U6OZklA9WM8HH6ZjOf2xx1jRNqgqGNOq2PaUqOTaBZonhxwIqchFDUIR1uYmt6OWun7XdSmyy2lPZQjSb+L9LDs1kzmo99clKhjdQNsuS3qgNYWglkFDAGVtaQyrKstSaMenTeIVZNpxTg8gRQU3aMeyX935qxIV7CQivG28E5PA1xlfNRnEGIrarR8hq1Jsr18xSsiphxEl5BIzjGTrXjVqVos1SnImZVpaQeHPiBgrkwANt1EeIvEGRqGYGGORMGmNREf+USVuy6WUpExhFyrsxDSMsYiqeAVRTDWqWBFDoJVQVz2c8svd559Qy/Yew8EDIRTFDiu5/qPHT2mamqBz7u+5vk6NNu1yyZFgCna5LOYnyjQ4nwUqNCZE7Jh/J6DFPfjixeeshPjy8vOXVMIkNFGjJbXq+g3rwxot37cKOw6U7Ita4Coh6yw7fGYJoibn6tYCHuTamNrz8L00CfQXHbtduuHH4Dk5S2Xh40cPGEUFedw69NripFHJtD1BKhUsF0XFdxxHbhh5qPlipUsKoLUtar/BB1RRmKZoZ/owSnqQMY5l6QrVOhT2qFaTf+WifbukmNODsxt9CGsG6U7cb95gHO5TyreVCfi2cZ8O3I/78Q0f70Yk8FWmDuUjtygHkaKAgJ/6qKPG9WlV++LT76NHaWv1ESNhmlEwSs+96wKqDWz3acbW9SE7kyoKavUUncPhG9JOb/QJRl9AP6UiPsyrALLPhOJHEHPtO0taxbq48ip00SDQikJcGo3FZBszVdN1PVpW/3ZZE8QibRUDu5O0KjQPlyzkN2s3svKSJiwsx+8d0e1l+7rmp1+ksP033nuGl3PZHq7Y5y68cYMV9R07GsIYsJIC9NsLdidJOXk4fcVeAMcvfvo5D8RG7NHqMZtNIjfZStEcfkAQ6S3jFE66On27BvFTGMJFofbqRqGkp0KTPBcbWRWjjnCcCFKD/oSPfvM3APjy7IxG3vfHLYu12HaNhqurDQjB50G7Lunk2IOSkH0Yxtm9FjFGT3V3bVIaJFct95WE4CcPDRUKSB18oPdbvKRto5/4BG2zTDbupBQhb2PQRQ3LrBY3aMfrZqoibJsWIypJY3sH7fgr+l3ejUmAuzGBnzUikYAjFPEOBTHdXKenn/CekpxuF+Uxg3HYMwrS7kMgdJFaGmgGt0PHdHEaN2I7eXDzxvl3y0QQUWp8QwV21sdQ9ktPpUMVUGoyt/Q+lO2THbsQV7THld8xk04Bmsa2hWXorMVKaO+PH8i0BcpbCOnhXttjBjEGfHX5iqNnh1SHCR13cc8jkedSSrEQ7v3oBtxlCq2NDXiVclCCxm00Xth4evsKcyItI+fn7E/S5378+9/no/ckHfnAEUKanA+aQ8IONFK2UiP7bJhpFPogofjx8gKuRDbNJXtygMWyweglYWzkmjWcnaQS4fluS9WnKsjRR9/mwKZjfO1eYqRcutLHLD1cS7/FSCgPgnOOKPJqoPDk6xqo67aYmoYArTyEwzCW+0HryVkohDCxTFVE6YATlqX344QXjCOtVGG+mnFY3co4PGlbXufUoJ5VEK5O2F9NjMO7xjszCdw1ftZEEGMgxFD4ASqOXJwnkmKrNJKSgQu4DOT0HZ3cUDrUmKgw8uBVCpT8rdWeXpqWdLUk6nxDzOnDWXQiizpMuoYKVbroYoxl5VdpRwu3ISqf1JIAj0WbXH8f0TKJmGgmlYQIFkOQ/DKaCUz0VYs9kJV0t+PBs5Tft2ZdaL7LUbMbAouVAHvacfS+CKpaW5x6zl+dcKzTd427C8ZNYhLq2NNvB+oojkr7VxipzYeLc3ZnaSVS/TX7SxECWXuWq3QEy+oRw/VYOg+PHtVEK9uzRwsYa1vLeJH2uTJNoVm7MaDNARExiw2aI5FPP/nxJwQBLB82Kx49TljBb3z0r3DVJYZdHw2Vrvng/fQ373wRbwkzgRCtdcEElM7defKAe18mBGsn8Q7vp6hUKV0ETEPwxDCxRgmRQXCI+YTgZhPC7YzD9H2JcSi+C1XFupkmhOtmoiDbUlKUCfyWcY8J3I/78Q0f70wk8ItgAQABJwy+bGyx5/Q0haYLpRGJQkwMKOGa29FT97JyhoC1NX4vOamCRvrpd5enIGG2WitC6RENINoGOmT584zua/Lyr/CEbGqBJ/c3xChlxphXlYASGTJrJwUeFxpstv+OTJGI0oRIMZbwirJCmKohVlma3dOOabVs7Jr+OuXkVVURfIOv099Wy3pyB3KRzWlC1F/86Mc076d+sPHsGi8ltkp1WKvZ71NksN1e02ZlpqiRSh5Hq6qUYrvNKSvRD++312itWa4yDlJhS9qzx3ppILKGIG3F0fki7RUCmMWSaKWXoQ48ORZ3KAZORKG5jpbLkLavm9Ws1wG81ji5TtaYcp67rislPqCkXNbYVCKWW8DaqnzmzUadqUToS6UhRQX+rfQAwLuR/YxgNIpb0LykeDvjMJ2PurIlKphXEE7qtjAOc4pw23gnJoG7eAJfNXIZLuAFD8gJc8f5eWpcfKrq4jasowM5ucGBdvkhDqigqXKorgLXL9P2rW6o1k9lGz9jyIHOFOBYCZ14phWQ90XZ8nA5NwOZlMYoTUEpYihgYl1TwmRQhZqbvlMwBGUIKhawRysmcVZtSjjbrg6J4rJjVYUjAXb7vWN1+IRgxL13u6eRSaiKcP1peoj8ly9wSwHTtmeMZyKH1TsePH3Iiy8lPQgDQWi/i2g51Om7HiwXjIKpMPbUsi9hv4OlAtK/vXPFLqvyq/Lg7KpF0kIETFClu0/VK5yPmCw8Gpb85Ms08VeHDb3Ic42XL/jRP00TSvQj1bF0hB60VOs1Ycyh/tRcs1wu6Top63mPqSYJL6DoA6i5voRSBTAMIdw6IeT3Q5gAxFgoyKHcJ8OwL6XYeUmxbZd3Mg5jnDMOZxNCc5NxeNe4Twfux/34ho93IhK4a9wVEaRynaQDAgoqKfGcn33BQkIm102lERVHYm4D9ZSwzGAgRoZBVhytWEsDCf0WL4y35sFTfMztsoqsXpSqEVMkgHKzEp8pryu7IMbcfz6gqMBLqMe+8NVj9CVMJJgJmFIKPcn34JTBlFKkmVUXdCld6WgJJh+/oqlFZyAarFkwCOh5/foF1mRgLLL7/Kfp9fYaK9zz1z/5Q4aNgEtRY1VIYgyAD3t8I+4+ncNLo1CtLVp6EsauI3SyitUDuKnkaoxizGXT2FDLuWgOK7YXeeV0ZeULUaNiZJDe+oU+RothjG7bonbs4gWtpICvX/yAdkhpzsI/SyW57O5kqmLnba2ZVW38zQhVm0JYChEGQdwtCpv7AGain/OowHsv6cGkm1FKiQEmaaZYjHM7vynK26MbpSFJmI13Mg4NVlKoys4Yh22uGb093o1J4OfEA5CyIDDhAXLhT08/o51NArZMAgMhS0X5eRlPET2FAhqdTqkD4K/OqB8kHTftHVby3mA12s25ApPkc2Sc2AGxmoREtCYrPEU0MVbSiJTCSW1y2Kim8FTZG9yEYsMWPUZNiHSMTIg0E+NMMXVXjtFjq/Sg2FFhbM1aHpCLy9dF1/Ds9IzhNIX5y7bh/FWaEIaL13SDOAMtLPvTVwyiirw8MOU8n27OQUL4cRxoRcjkaP2MRZtut+P1ITHuiULpdQPEVcY3HCE/XJWmFQ2A2G9KpcQBRoVyzfZ7x/ogHdsT84C6lw7R1rKSEqEbtvR9eiD6857teMnj91IpUrWHhJjwAhdi9oZFaV0ciJQP2EZPOpcz+XlHJMgiYNElNcuuQZAmh9vSg3T99GxCCHAb41AqCPMOxVq4IRkvgK9mHN417tOB+3E/vuHj3YgEuAkM/qwRZzNvAQWFu3558SVPBHBzLqJkVceNU5t/DJMzCxofYlmlK2MYXSLIRLvGyvb7q3MWD1MkMGKKv0kyGAnkN3wYZ2qv00qsMIVfkAzTDTHr9qtYQrsYRlTutFfVGxWRKfowcaoZRxWLOSjoYr2ilMbLCh21cNRJ9WNtLVsxPj2uDFbAsE9/+glRAFQzenbSdFQx0MmqZI4eEvYDiH/eYt2QCRlGeXpZLdeHmiq3X/sObVKY6kJHY82k0BscMWRwLuJj5uFPzE6LIkpzj600qu/QmQFqLQdHqdLRrtd4MTI5Pjzi8EAYg6rBi4Csbi2jDgSRJ9NxSRRuiHcVLp8nracwWyV5sdzWYd54cvI5HwjYog0xKf/mNGGeauSoIJmL/gzGYQj0/bYwG50faQXsa9tFSmv5asbhXeOdmQTm46uwgPRfIQhBwQPOThNttVUaJwQhPSsLRjdmEVxi8NNJQxH81OijVUw0VMC2LeM+hcCDO2EhJByjWsI8iIq+PODej2jpuw/Rz26WsYRs0SfNvNkXzNRgFaHQigd0tj5TNycBsDi5cYz2mNxP7ijdfV6TSiEAbmAUTKTC0l2PbMXEdN139FL+M8GiM6lqtysmLZXvM78Pd7lhNC3tWt4JnlZC+PWiZi+mKMu1Lo1aJsJKmrSsMazaFaMSkxF04eypYAhj7swxWLnRdRXKpKEqy9JoLrxc6DjQiOvQyevXrB+lLlD16ID3PxQHpEHhVCbR1IQmYOoJ6S96jxGyaECIU0dgVSuc91P5N4Qb+f18OHJjVSxYgUFhjLmxzRwvmJyOzI0J4W3GoeAw3s06FL8e4/CucZ8O3I/78Q0f73wk8CYgCNzsFYga4u4mQUgWCBsDShD5MI4FSEp8fwmlfULEs7ehiz2Iv33drrgWy+3mcc1ewEBbFyZA2kcNMZtgzqmmKuLlN0McJgkx0wJTaKmgAE7WqiJjppShNAwoPaUMpFU+iA0WgVIpCLsdtpU+CANRIo4mDGxepHNk7AN2m45wmVb5sxdfEkTV1m3P6KVfABUQ+0GciyxV+oc3LYE4efbFqhi2GEaWYlKy3/jS5KOjnghJOtCHHVJsSdbeNp1zXR+gpGpyfHjIxYWE7HYsiY53ScnHNuna9H7DqXA7Hr73iMUjIUgdL7iShpt6uUphEqkXv49gxHdBq6qAxsRYIg5tdGkM67sOW7dURd9B3ajc3JbORlJfQrpECjuT0fsqgtHcZvxXSTu+a7wzk8DPRxCaynBIw9DVZUK0n1AzZmnq6Iq2QPT5/1IZLWMC3kdimNRYh3gNTWJXNYslL8+k6eXgkDETQpiwhuA9KFdYXsG7oiIbIyW/01qXMF+TVEwmFWhdGI8hKLSw0RQVzNKW8mkDzii03CB6cARJW178w3/M+v2ElB99cMSYdQHHHcOnH6djvP5D9OIRjUiAx8HTi5DH/vqS7U6k2SuD9+khajwouV18iAy7LWuZLI2e3awusNJSjmodRiYHi6aW8+JjD8HQLqVbr1LYJrs+KaJL3zVsR5RoKKjGFe1CMyr2Y2CfyVJ2ZHEgaYOx9OKadPT4CXWb8AHbHpG7L4awp6IFmUS9MkSbsZtQqjtKqYKqx6DAR+KQhSg0Okvgv9FvcNu97IkE4gwv0OWem2/zyzIO3Zxx2CzLhKB+mQaiOwxJ/yvg3yYpR/4I+Esxxgv52+8Bf5lUOP/PYoz/28/6jTd+79b3Ezcgg4GxrJAqDJy+/nTiBuzn3ICBOOaHU8ovJA+D/FD5LAuT5cA1WKFa7veehbgSh7opIItiEhPt9tdoFamkZTYYjSmiFJ7yEKuZbLpKDEGt84W36MIMjFNbsbI3rabl3NTKEseIEXces7ni6uMfA2DPX3JxlTrqDpd/At+IA9Pmiusf/TB9PigO1h43SPThR67FwyD6CquzZfcGJ66+1j6gs3nSGTBAk9lzMdBLc1JwQ5F2X8SAEc6Fd3uUzhLdBrTBZxZ2VU8gZ+yI5kquxYJG2n2HYV8+b6Pl8vIa9/gxAEeLA3Ql9OJeM4h112ZxQdWmLsaDxTFGSmpH9QHeTeU2533J443xGOGApBw+T/wyqYtx6+i7cmymqacFalb6e5P9miKDSYglTwi/SsbhONzUOJxTkO8aXwcT+Ou8bUj6d4A/GWP808APgN+Tg/4d4N8D/oRs898qlfvo7sf9uB/v4viFDEljjP/77J//APiL8vovAH8jpnrLT5RSPwT+VeDvf90d+mqC0KwsWDCB3Q2C0NhDNWMJhqxD9wZBqFQKYioFeSkx0tZl9bncjrRPElko1E1hi0EsUYUfR1AKK9t4M/WQ3+gtd65wzZUJYBQu5/Hjjspk7bkGMkde2akNQU0GnmNU1CGgpGX68gff47HIpF9tTnn0IIXjh1pzKZJq7vKc/od/CMDy8TOM2jF0InW1DAUTuby+xIhhy3JpcdLHUI+auskaiR4XIk7ceIZxxGXpND2yL9oKgUZwBGPrUkar2xXaVGgJtX1ST5HPVUQRL+mVoWpSJIa9xmUSTmVpVnWpnHRXkdx1tV62vDhJ5+XV55+AlMZGEzl6IjoFoaGuZ45EwRWtiXnQnFD6nMNrQM/KehGfvTGdxwh4oquJ4PXmqj4fgcggB/2rYBxGNYna3MY4zKYpt41fBSbwHwF/U14/J00KeWRD0l96RMKMJThdnBj2XF+94omofoxuKgsyDuVhJ3r0nBuQGYKCBwxSJ6ZZU0u3W3e65XAt/fSVpaiax1CkpCF15cXiwGNLzVmrGUswRkxhGkfcGIt+X9RVKUtqdHkgIqqkDJFYQtZq9OjB8eX3k7T38P1/xAd/KqnpXL78KdGlfQ5X1yAh/+kffo9R6uy76y1wXmy0GDp6Ye+h9gSZOMZIMbT0cQ8hH0CH0Y5ul7bXNQXkU1qhawlZHQySNi2bdhLpNEt8tGgRfInalXDYOUr51o0jNjvnmCWqSrhFaBW2hkrAVFMtqNrMDNywOpI8eNVw8TqBocujBXtRUqrMA/q+n1G1J6C40u0N1LfoPRp9g7WZHH+Fg+E9cS/74jymTJYTkzQ/wLelu39UjMO7xi9VIlRK/ZekSvD/lN+65WO3wpI3DElf3y14cD/ux/345zt+4UhAKfUfkADDPxcnFssvZEj6L//ZPxu/HkEoL5EaJWHq69efsZgpCOkYbxCEMkswhpBMTUlIe+kZj4AKZSWz7ZJddrY5OiZIiUnpqcRFjNMqGiN1XRfiDoTSCmH0TGXGNJBLfOOIQePl9GtbQ+mV1ywkhRmtJjcqKTRB9BKrix27szPGL9Op1ePIi59+nF67HWZIkcyLP/wRg2gnXnz6EzaiOLs+WnO2OaPKoYm/5uR1VmOyNDkm9orloWgA9J5uSOxBaz22diX6QVc0sv/a6KL8bKtI1mlXlSm+fsFHbFUTJe0xGKLP5c5p9WwXhiisRNwebSTyiI1EUyliqbVBiYPS6rClaiXiWB9gD8Sj0TbYIJqERsL5WVl36v2IBdg1piplZWstIYSZvbwqkcS8OuBHV8BD09RoKUPmyOHu9CCNgYDJKcivmHF41/iFJgGl1J8H/nPgX4+TIBskQ9L/WSn1XwMfAL8J/F9f8ztvfT1xA/yMGzDRhE9PU2VA9DCpZizB4Nwb3IBMYS33JkabVLKSh71pl1xuxOH2vQ8I0oWV8ICcQgS85FhG6xvNJMRpEogxYHSu7UdMluNSBj8OuJzHVS0+pO/ojSpsSBs7OpUevKWvqV8mBP/8+z/Enb6mFvfetm2LA1E9GqrM+Dv7jN3LJKml3L7kh1EFXp1+XjrMmlrx+FFytWVzgclCKCpwvk1IfWVWWMnhBzegdMTk2r5elJvswC7ZSqORsQYvPA1jLZWcJ+cj2EjW5dBWM3by4LUaZfLE32Pk4VY2FAzA6AavKoLN5TtPm/UI2jVbkRHTURMlTbTVGmWz6ashqHSt8lB6fs/lVDMWCbEYI1VVlQd/HOe6gvoGDlAmlK5HlwmhEt6BYElv5Pfz4cs9/6tlHN41flFD0t8DGuDvyI78gxjjfxJj/H2l1N8CvkdKE/5KvCnIdz/ux/14x8Yvakj6333F5/8q8Fd/mZ268X2ZJfYGQSj4FCZur1+ziHWR+1JxhBk34CZBKM+coSwCxmiG2IFYcNftkk4IQofrg0IQ0rOVI/O3Aeq6xqvUtJt2eCIBhRBmxkSBsEvh67BLpp2ZTfbgW7/OVrbvlS3sP+MiRkLe4fwLrv7v5OzjPjvh0CqudglLWT9ac/FFer00LXsB9uJwRejS+0rVLASwOnnxKUZVxXUpdkmGHeB4/YBdL0YWKouegdWxINDaJK69FW7DGEOp4Q/eUatMM1TEXB2INZVEW4MPoCbbdms1XioS1iyxQtzZ787RQ5aJj8TcWKVNAlKlIci3C4KkE7u9x2c1KdvgJZ263I4cLsUavdGgTWFcRrhjVVY30tFxHEsk0LbtxDNwrmxnzKQBEWNM1SNSVGqaulQR5sDiHxXj8K7xTjAG7+IKzsVDYoylLKhCz+vXE0143IPJBz4TD4nuLoLQ1DCU8ABFJWSK7W5kcZQYd/OyoCKSeb7jOJZ8oqqqhAfccCKeUpBsNIpXuL2U6168Rl2cMMpD1bWW9kBKYabC9Om7rn/y0yKvFX/4/+F/8oN0LNEx6JrRp8nq4rJjJYy70Q2Fattoh5an04ceZTNVesAS8DLBuN6zFiGK7eaqTAiN1lRiz9UsFgQRXrG6QsWkjQgwqliqGIMbeF8IVhebPUvR9YtRMUqaYWxD3TT4ku9a2qWcW0ZE3wQ37FlL6XPoA64TstTaslo3GKnctIvDYpG2PjigF/bkwdExcZ3IQsqY4nPgiNjFotCzgzbUNj8KU9qolC6v80M7D/uLB4ExZUIIs8ai/O+8ve8H4jw9+CNmHN417huI7sf9+IaPdyIS4CtAQS/cgEQQyohbz+lposa2SjPMCUJhmAhCM0RUKT2pBwUKAuxjB01DvUgr1sX1yFK4975uZrP6FJV4NxZyzQQK5hCMSU0IinmFdppBIgHddYSrc8wugX7d0YJGFH4Zptl7+PFPUdINtdq8opaVe+879r6jadNvXl2eo+W7g6npegHjTM24S6uiI5ae8iePHzBsOqJUQcxySZM9D70ieiElDY5lNnfdu1Lp8AGsUmjJJ0bvWC6zcWnk4noj56JBiZFLDA6TlZO1ZnSRIOew8opG+gicTvsAENRqclkyik7SMGWkTVcIViEGfNzKhXYouWcW6xb19Di/jRPFoRA9wfWo7O8AIHQhrUw5/1kVGlL4PUfk52CctZZGQFbnXIkKgLd4Bd5NPScT7biaPCX+OdKO7xrvxiRwx0gEoVwGmQhC3m3ZbVLXW8YDCkHohm5AKDZWqSyY8zuK7VMfe2gOqaVfoD/bcbRKZaXR2ml+CmEqC0Jxqy14QG5m0VP+pUi5HIB2ELLVWb8nuoEg8Ph4uuVaJxQ+vH7JtRhqhjFCSK+tH9kKJ97pwEqtoZcuujhyOcj22tIo0aELsVQaGlvhxyxnBuu6YnC5n3+kHzOzzLEWGzDLQHedtmlWFj+kNKNqGoypyEyoyju0pEPtokHt5aS5gJJjDGPESa+D0p7FYsWuz2rJE3nL2IpKpNTbYNns0mdqBZV819Dv0A4awQg6utJh+Pi9B2w3aUINcY92W7leD6GU10ZiDEWzUc3yeGMtOUCOM43xEMINdH4+CTjnpu2NoZXOyXEc3yop3kgP/ogZh3eN+3TgftyPb/h4JyOBOSJbeEhRowRBPhWCEKSuQRMDWshD0Q1FTIfoS/trigSK0icFGjeaql2y3Qk34OgBvs7cAHWDIOTeIAgBjAUUzOHWVI+NKJTL+9mhM2rf7cB7glhHtdWS8epHADTXl4wXaSVTy8ByzBJkhuowrfD7/QY3dERR78VGEGCwMi22T8d8cvWaVvTorbZUeYXrAzGGQskd/IiXENgpg+CS1PWKMJ1MTC2GpJWmMoCs3sfrNRuR6trsAw9UEge1pmLqH9P54zSNBRNYZkNRHH1uazaasNvnXyyW6+N+TyutyDs30nc9Nn+hd5jcbxD6Ik92cXrCQsm1XC9AiDvYBqKbaOC6uoGoTzaTapJtUxEfQwFAM3kIUiQwD7szYFfXdXk/8wp+Htqx0m/zCn4Z2vFd452ZBG4jCPkb4iFJNwAyQSid6L6DKkYoLEFfKgLM3WJFNwAyQUjYRU1N0y45v0rbr54dE+pMgpkRhOKUz1lphZ3v70QQ8qXa4VEoyW/dvkd3En73W/CeKBOJ1YZR5LN9NxIlTG/ciJWWhtg7fCU3altRObDSa98NPaul+A/GQBQp7WAcIZfVAqjMg4+K0XvIHP+oJQwm9RAIszGYumggGCK2Tce8GR37YeCwTsfW2gWNzu7NMMkFRnxID7RtNF7nBrAery8xcuP6UDEIaq6cxmj5Ta3wIiGmcQxCdqJuqJbrcglqb9ODDdjaFPOQagO7Shymo8YuU6XALJbouoIZYp5JQUrp8noc/A2wsbLJAAAc+0lEQVRWYRKMyZPFFGrXdY2b4VDzCSHn6k3T4Jwrn/sXwTi8a7wzk8B8xFIb9YUboKLCjQKkbc9ZBmnSCIIHZE+BG2VBVcqCzseJJWg1fciTwBG2XjAI7+BoNXEDlKLkvXM8oKoq/IwmfBc3IKCKNHnoerTQduM4EKqKWnrgXfcaK/lx13XoWmZ1HxmkUh8qRX8hOvtGMdIxOLlBxoga5nlgmjkeHx6iRKCDMc4adgyeSMyrfNQsKtFFtA4tYpZ7v6cuGggRI9qJucc+zkpcNv++MYy5i1Lt0bIvVXXImBvAlMaYgJOmJW1aaokydNugTW40WhQwtW5mzTi1RbfLEplEXTGKfqAPO7zgG2ocqZV4EPTXeFk42spgdUu0uRQ4lakT+09Oy4xklx7U6aFCMfEmNDeAufkkkEFCYwzW2rL912ccyoTY1L804/CucY8J3I/78Q0f71wkkGSd3yYIEXtOC0HI3DAa1eGmghBF2tsWFdngw4w+7UHyy1rwgMVhLgtOKjdJQSgThIbyuq5rxhL/Z7nxqQSTCULK6UIQ0l1P7KWMFRIe0OZI4OpzGvHsu+p7qkMJBwfw8ptOeZZLQaaHjl1zhR6ES28XDJJTKwtBQuja2FIFMcAomMjl3jHgi9OPVQolLDujdGmmaqzBSrDQRIoVes2CuqlKL0HnXblOdtRFu8/Fa1oJ0we3wUg6oZWi3/VF8qofPEe5UcnFQqJRcUVw2Ro+orPik9LU7RFIiS0YS4iZvRc4XKVrWWlPLT0Zw9hRCSHJuzE1bWWCV4iY0sAVS5v4btcV7Mda+1bTUV6JQ4iTwq9SVIJj3FZS/PkZh5JmCFbwyzAO7xrv3CTAzF3oJjegK9yApdJI2kcteEBmYqVUIJ+QN7gBcgFc7ErDUN2uOLscWT8XGbFmxg2IoZT7gnNTb7vOTsSQuwZv4waoGUtQ9z1BpLoSHtBg5IKN3RYv5T6MK4y5G7XdENAhTwgOs1d0Yry5bta4bXq99yOLrD03BpTQdjUGr9JDXC0s0deshI0Xhz2hE1dkpTF11jCg3NxVVKX0tjisiAPF7kwZXWzEBh+K1NZiuWSUPD4MHbVQs6NvkyhJEKFMYzkT+fPm4CmdaCC05rqAj95OrtCmWdBHVXgHYYb9HB8e8lL4DwMKjBzXg7qkdiqmFC6b1Rpblck2Bi+ycOlB6wXM9d5T1/WN8luxfkueYGmbWefevKSYy4j/vBmH807D+fAzwPrNcZ8O3I/78Q0f71wkcFNBaDKFGIdrejG1WIUancG/MIAb3iAICSKKYpwRhHRuAw0dNFLGqlvG0GGEIOTMnCB0e1kwgYITepQIQlMkkCsaeoyEkg7sJkPUqqKuFjhp7rFdKIi2rj3SP4OPftoX70s64+JIdBQ9AG0itkq/2fhIJYBX1JprYe9VusLWuZVWo62iR35zGKkbQbHrmhyKDKMrxJ0YB9qVVE18IPqGUUq2QTGpJEXFtjD7lkgnMeujB0U/YHM9sFgelB4FazWVlPhqs0BL+7D3HQvpPRjdvgjNqtow1mEmT2bKufHDMDEboy/K05Wv0CV484ToMNIApWNk7DMAuSBICK2NKpFkRvbzPVBVU1lxDtJprW8VHa2q6o+EcXhXmvBV452ZBEqYFAOhpACaohvw+rNSFhzfdBsexxsyYpkbQFSlyUVFRcx2OJUpNOHtNjUMhXrSDbgpHnJTRgxIeEDpRX8bD7hRFhSqapSyIEBYtCyqJcOlUJ/7wKVMAvWRR7Qz8DGiso1ZiKU3P4V/YKWUpTUs5WHVeigmmrpSHByn0mG/60uNGxdpW8tO0onR7lmL1oG/3pZuv2AmF970wEl+vde0lWElzUWbcdIqGEOkktzdDSMreW21Idi0L7XyNPUCl9mMTVX0Fm1UbHxiSR4dPMZL/VzVbaINArGJRGvoJGy39cTnGP1AI/Lj0Y8EwVGGWrGQSWP0PTFU1Pn8KTWxCd1YNPqU1hg15f0xRIYhOwD5MiHMvSZC4OaEULCC+E4xDufjPh24H/fjGz7emUiAUtucGlWICsJEEFrLrLzvoSkKnsMNgpCaE4RcvKEb4MW+nKahltbh04uRww/nBKFplQ/BE/xEEIqFIBTJq38GBXPQ5dCzSKCbCELdjhyuxKpBK1DiIOO6AVXJqhbA594DBQgQpENkiBN4FALUdVYlNsRM6ql16sIBxhgxOU1oGxCPPxMDwffYjHO2NcMuMxNrhszEU3oycjEGIyCjbWq8d4xFOs2W6E3jyTaLTWPxWad/v5ustE2Ddx0BYXkG9f+3d24htmVXGf7GXLe9d51r32KrrZ0OMRgQtBENeHkRRYNGxZeIYMBAHkzAIEEDeclrFBVEMSiKF7yAqNgPCoqIvhgxxnQ6IRrbNomXTt/POXWq9rrNOXyYY861dp2qPt0n3VUlZ/1Q1K5Vu/aaNffac80xxj/+n9b6KpQKKgtHDre4kDQEJsOYwXsImjPeiuRQoV6VeJMXc1px4b5IEPJlw42tJUarmsIHgtnBV5Vk2/Ou7/Pu0VHma8kVLvLVUqjmPdutyb1VVd4VpPcHOMIrOB3GoZsxDuc7lJfrHTg3i8BEEBpRTSUi6LvYGDNs98HblifMFYWHI8YiLjcNDXOWYFXkGJbmSpbG8trjNnuEZKQRg3rAxENmZcGQCUJT6TDlA7J4iAokLb22w5lGno4DwbbsdbWJBCErC7ZdR1HZYhPI23lmZCXRmAuAVJJyFDIRVFSmN7kwqmwxrvLxIP1kVmHNM4c3TZ6sWrNn4dEoDeY9Qtu39Pa/lKNQJfZaaKldgel9cLPrcKuYU7m6WdF28X+pyw2DhRzb9gb3rOM2t93u01yocSsrMbZDpvAWjKxHW9y2Pc1erChsxxF/00hAF6/SFCVlOXUlJvZf13akF5OypjYp+GpzEW/kqr7tEB9yt+lAl2nHfhynWF9DJkaJi6HRVB0gKxHPt+11Xe+oGL9WjMNUUrwd4zAM424FoZ5KiidhCQcWLLjLcW52AiFbjMkuQciMRlfisHb6nZ1AthyfEYQSt2CeGAkMYImh+kjD0C0KQnorVbiua/pbCELk78mqPHIDLOveduiMGxDMmjsmBb/IOu0E2pb6su1k+snaWjRkvr/XfrbNTM05iYIaUJcowAJ5J1WwMq+A3veZOFIXwiCeJlmE9SOHJCOSms5UW6sKLtidqO8DN1qzL/fCpStv4NpLkTfQh8Da3rI+DJn2u+0OqUxnoN7bY0zc/9ATBrIPgytXjCHescWVBOtgEh25bh6TxWaPqooVHcqGQJldA10ISGFZ+9LTbq3luarQHNoUWT2qqht8GDMpzIcBHVI4M/WBBFWCqSGJBkQLxELCGB5YOBKmrXnbtvnufRyv4HRpx/1M6HQKV47inCwCUxeUqkwEodDmReCiOLaJ7q8BctdgzAekHgEnjjDOxUMsG6tbaJKi8B7PvxQn99LXxHxAzpxrmDK93meCUJiXBQl5+5ryAccRhIqui81CRBIKKe9AQNpDBhP/cNU4lQXDrCw4+kwQ6nXYyUA3dZk79HzoCOkFQoHYIlCIoIlJpwO+NhKLrmm7g4m9tq4ZhnQpeJzlF9bNmtryCCuUYOy7bRjYPzigs5JnuW4Qi69DWcOYMtIFm4urPP5khOKCQ0dFwsRrTw5GvcDeJomFgJjHo9vzYHZ6zgla11OORjTnDjarS7zwTNRIrIuSi5ejX+Hqwr1gpVNXOgiCT7Gihqg4DSAFkkq8MvUPROXeEN2jSKq+ttiWMpEPg+Yt+7yCcJqMw/mCMGccnoTbhgMi8lsi8qyIfPqY331ARFRE7rOfRUR+WUSeFJFPicijt3v9BQsWnC1eyU7gt4FfAX53flBEHgK+G/ji7PD3Eb0G3gx8K/Br9v22yAShUGbiR9dez6646qsdbkDuGvTxLjtZjEnUtcd2AtWcIBQ55a5MCsHg1jEpOCcIHTUWAUwKa+IPpBxhSgrmisYQUKsI0B6idlfQuqaurH7ePk/ZKdvjCEIhTC1tYQoHRh1yUsmJw0mZ9RFyKACgZQ4HnBOCdQSO4nMXoYSKld4DVZrD6Zz99oDG6vHtjX2KOib8QqE01rl5z+YirQYuXo5Ju14H9m9Erf/i6n00jfkydgOdJUalVEwkiE2xpin2CGlnIJ7E5Cm8ZOXh0QvlJUsMsk+l8fHFFRyIz4lKRPP/uT0YecD6QF649gzPPZ3CiatcvH9j72UBRYWkEDL4HI4iY94JiE7itDFfrKifEnjJH0GcQ4ppzjUT1HZpx1VVze7+rx/t+KQ+hJNwR4akhl8Cfgb489mxHwR+1xyJPiYiV0TkQVV9+jbnmAhCyEQQemEmHtKSWYKiPTrOG4YCLslcq+wwpkISza4rGvMYvHkwsL48sxzfIQiFWyTFwXjoJxCEwrwseDiVBSNByC6a9YbKGob6m19g3YZ8gdSrgLNTjmjkthMJQiO7ZUGAsoxiHeNo4YH4WY9FkXMqTpjKik6zx5+qoypLRntekC1YCFA5RVJZaRgYinh8v9vS2HvRDj2B0RySoCyEiysz/my75MZOKVCb5HfXTSSqIAOUnm0bX3vjag7NXUk1ICs7vxQMqQRRX8lrYx86gqwI9nqudHhbRGoHfkxhlmfso55Ad+0aYpoLq80q5i1m5bapbzhMBB8C2Vpei53wQDUQ7DziSlxaEMQhibEZOFeMw5Nwpw5E7wD+R1UfP0JL/Crgv2Y/J0PSl10E4iCP5wZctgvvsLNcAEAYUPsApHzAJCc+Fw9x+GSQ1EzlousvDly537oGmzqabu5wA6x+XJa7ZcFEJz2mYSj17Y/bjsLu8KE9mARO6ibr8Em3pW873E5Z8HhuQHeEJQhTUtDb3U/LQFLyEC1yY5Lq5BbspEQspg8qUJL/3pUKxlMQD5Xdibbq2Tf57kE1LjZxZlk1ZS7r4mBVx/M3q8tZ6FQYUSMNdAc1TWrAUo93A2I5kl4DTbln45SpmadQIDVgrRltoXIqlKs9XJGUiRrGJJTaD1w/iGPuC4caN6B74WmC5YSK4isp1820joubAuMZGUBFs8CKqO7sDJR5vmDM+QVXzHIF54xxeBJe9SIgIhvgQ8D3HPfrY44duwSJyHuA9wA89NBXv9phLFiw4DXCnewE3gS8EUi7gK8GPiEi38IdGpI++ug3atJyE4V2G0tRoTsk7BCE0p553jDkd9yFwokEoT3EJWUdh6xTqjndnSbixw5BaCY5nl5YdhqGZIcgRNuCMQF1JiGWCEIAZatsu25SEDqJIBQ0m3uGMLHFnBTRReloLgBAi1zpCKFntGYcR5NzBaoCbvKxFzTHpL4q2CbXn3qFN8ORC80KqSzWNI+7lV0+YzsQKot9B8V7u+PWSpv0AFxBYw07tThGHXH281gPiJUoSy6jtqvREChsLhpdM+Zym1AVBciki5iUg/tx5PJXfBUA126+iGzj+ff3X2TvxSTnJuw98JWMSU+hmkp/cSd6aylYJdwSHqRbntNpZxjGgLiTGIeSCUZnwTg8Ca96EVDVJ4AH0s8i8nngm1X1eRF5DHifiPwRMSF4/Xb5gAlp4tsdbsCY3YaPcAOy/qXlA07iBlgtvJlxA1azhiFXuF1uQL8rI9YzvyCmuJH8SKwsaAmwrotCogB+JGziYlNXG7qb/wnAugt0XUu9enluwMhuWbAsJ5rwOPppe64yWwRcLl/2OpB0MgvKLNWGi4lGcfPY0+XzpLX20voS+2aIenj9gL37YmLOq1KqUPq0NRUGWzj7rs16hcM4ZBm2piwIFsIVzYbglB6r59c125vJE6BmtYmhQVUUlMbyk2rKiRRDFEFxtb2e+OxB4Ep4+Ou/AYBnnv1fui/FcmHjbqA+nm84vAb9FQprbvJeMk+kcG7yZAuzcrWGI+FByKVYwc26+MgaFOeNcXgSXkmJ8A+BfwDeIiL/LSLvfpmn/wXwFPAk8BvAT97u9RcsWHC2uFND0vnvH549VuC9dzSSYwhCV8Rx2MaVLxKE0k4g7DYMzY1Fwtxd6AAsa1qv9rj+Qvz7K/dPsuKFNQxlr/fgqRJ7a14WPIYgBFNSMBOE2jlBKIAJeBIGxBKGMSnob0sQ6o5hCQI5KaiZIFTmstYOQQiPs/4CCcVUgSmJjDlTL/aDzkIIxc1KV8Mqla7qKTFZVfi2A8vuexkZxhTObChTKVQPKLtUhRly1WCgpw2e0UqOw41ANVMrTqXPoqyzNkO3vcGYzE3DQOhHXDNVBFpLgFZSZD2ASxevItbTELoX6W5amCmB9uBabi3WPqD2no9llSW7nStm12VKGKbwAEi26epmuwLJ18Z5YxyehHPCGBTErrDt4Uuo0VbDOOcGRPEQMG7AEbfhHRkx65wbQoeYKAWumtRl1+tcHop/dLx4yA5LUMMRbkDKwAsMHubcgFQWrJvMDfDdpCh8aIrC6TM8zheBMKcKjxM3wBW4xBBM+YCdsuCcGxD/l1HGmAuw5+QKjOUDJJeNZlr7o9JYo9OWPvVSIaXD2SLkxy3qPUVaeBphMMGQdusSMZJNtZdpyzfHkcPK3j8pGUrHxpyOnCuobbFsu5AbgMq6pFhbk9HNlnV6YR1oimnMQk1jSsj7+9eyB4VzymEZ5//y1TdRHr5kr7XP6IcsvlIomdIcQiDYB0rdlI2XwqU9vI3haL4gTeD5ZRyehKWBaMGCuxznZCcAu8YiRhDqYu87kBWEgJgUTHVZSwruEoTsrl7X1KuZgtCl2Fse6knbPiUFd3wFjiUITTwBIPeyx1CgRXYIQhZabFbZW6C7+RRrC236vqNZB6SfVU8TTyAoIxM3ICXDqrLMW8mx9wQ3TpGKlicQhKDQZF7h8nZ81AEp5jJUbvo3R6Ux16KXuDlVWnC5D6P3I2VT5m0vxUiwikDVrAjGDZD9jsJky/Y2JV3yIpSA04parH15OEDF2JPiKJOCkAaG1qoGZUmwROSqqvG6nbbKojj73fUvPsOli/GcFx65RLdNCsUNqwuRG4IPFKK5/8RJkVWGfAiMlhzWosSXSb3JtuJzPsvRpCG8bozDRDT6chiHJ+F8LAIKhIkleDURhFqlyfukSexh3jCU8gG77kLWudfUNFYKvPb8wD1viBfBWDdZqTblA1KOIRKE0uX98gQhsIahw44i0UPbg0n5tWryhSZtR2/PSaHA9CEkWv2SCELxw+K9nwxTiiqLavgwoE5zRWBOEAqhZySZf5RISD3ngpH3GC0f4IcUasgUdqiLrw2MQfMHvSrKiYknUKzqbKg6Hga2fSI+9Vy2NEjjPd02SoVRrvLiUrmaNSu6/ahnIKWiFl8HBFGj9/oxU8CLwuX35dL6Am1VZfOTUQLuwCoy7ZZ9u+C7L/Wsr5oQilvhLWQq1xsKp1nezKlmh+XClbh0Ewojvk+NURWhKCZnZTkuXxD/g9eDcZhKiq+Gcej9VFJMIcJxWMKBBQvucpyPnQBweBAbUGToCGNSgZ1xA4Yh0dtRnTcMOYIPM4KQywQhWV1AkyFp6cD47VIckxScEYT8nCp8EkEoEUp6Swq2M2ORKq3Wmx1F4cMjDUPDnCqciDshZIKQqmWomQhCwJQUTC4h6iYN/jAwSPIPXE0EIQQ1Eot6b/+v5PNg7ddN1dBav4IG8u6jKktCH7kQDnBVnXdPfpBsMhK8z+YnvoG1qTofjp7REqOjwBB6KqvcuLLIt6O6KHN15tr2gNWeJQ+bClZxXve7llV5bzapKaTg2nORjjL0N1lZCDKEA5yP81/JmsKSlFKtqcqJdhu31rZ78gGx2n5VlJPXw9CjocAnroaTTAmOt/h5mPBl0I7dVEG4He043d3njUJHacfTbvM17h147RF2xUOMIFToxBLUGUtwp2EoWFkrE4T6Hd2AiSB03wmKwrfmA14pQQiS23CLdokg5NEkpFFvaPefBGDTKX1vRqPrAEfyAVlOnGFW4oEqX3QFY9qapnzALBxIb7LXYZLX0mJy1S3Ii4sUip8RhDQwLQLrmpeIBCHVycOuEJf/3lUpN2GrsgghbU2rkt7OP4SObXItKld5m10UFTiyVsO27dm7Gj/sNw62XNzE96xpGsqViaIUk/IyfqRRl8lPTlaxMxAYaalNkqwXT5ViYu0ycaouaspqajQSP3HvvSoupH6LkCXcXOnwflrItCwZU75AJC/WXzbj0IfcQHY7xmG6Tl4p4/AkLOHAggV3Oc7HTkA17wTuFcdBF1etUj34VBHQqM7DRBAC8EF3CEJjuJl3AvVqw4vPxbvvvV9xlbHZJQgBeD+iIVDb1iomn6ZdwokEoZm3QNF2+KR7oBo18gF8S2Eddd3cbTgkqm56wTAjCA3MCULZMhuHT2pKlhRMBBUn5H76Qcap/jwnCBUx0QUglRKOEoTsfqBOGRM1FaFKWXPf57lwdbXjk4e4XGcvmjI/ryov5HbhwQ9c2YvVAFFFEHrTzS/rijZXASp6qxStV3tIEsp0jvsfiCpB1zWgOvEmFHAmOhrKkcE6H5vNfZQhvhfj4PHWa1Gt9whO8jXjxiHvCkLws/n3E0/FFZRFmQ1MxnHI9OBQVuj/A9rxSZCX6zM+LYjIc8AB8PxZj2WG+1jGczuctzEt43l5fK2q3n/04LlYBABE5OOq+s1nPY6EZTy3x3kb0zKeO8OSE1iw4C7HsggsWHCX4zwtAr9+1gM4gmU8t8d5G9MynjvAuckJLFiw4GxwnnYCCxYsOAOc+SIgIt8rIv9mhiUfPKMxPCQifysinxWRz4jIT9nxD4vI/4jIJ+3r7ac4ps+LyBN23o/bsXtE5K9F5N/t+9VTGstbZnPwSRG5ISLvP+35Oc4I56Q5OQ0jnBPG8/Mi8q92zj8TkSt2/GER2c7m6qOv9XjuGKp6Zl9EDuV/AI8ANfA48NYzGMeDwKP2+CLwOeCtwIeBD5zR3HweuO/IsZ8DPmiPPwh85Izesy8BX3va8wN8J/Ao8OnbzQnwduAvieTctwH/eErj+R6gtMcfmY3n4fnzztPXWe8EvgV4UlWfUtUe+COigcmpQlWfVtVP2ON94LNEv4Tzhh8Efsce/w7wQ2cwhu8C/kNVv3DaJ1bVvwdePHL4pDnJRjiq+jHgiog8+HqPR1X/SjW1uvExouL2ucZZLwInmZWcGcxt6ZuAf7RD77Ot3W+d1vbboMBficg/m0cDwBvU1Jvt+wMn/vXrh3cCfzj7+azmJ+GkOTkP19ZPEHcjCW8UkX8Rkb8Tke845bGciLNeBF6xWclpQEQuAH8CvF9VbxC9FN8EfCPRRekXTnE436aqjxL9Hd8rIt95iuc+FiJSA+8A/tgOneX83A5nem2JyIeAEfh9O/Q08DWq+k3ATwN/ICKXTms8L4ezXgResVnJ6w0RqYgLwO+r6p8CqOozquo19nn+BjF8ORWo6v/a92eBP7NzP5O2tPb92dMaj+H7gE+o6jM2tjObnxlOmpMzu7ZE5F3A9wM/ppYQUNVOVV+wx/9MzIV93WmM53Y460Xgn4A3i8gb7S7zTuCx0x6ExNas3wQ+q6q/ODs+jyF/GLjFnv11Gs+eiFxMj4nJpk8T5+Zd9rR3sWsGexr4UWahwFnNzxGcNCePAT9uVYK38aqMcO4cIvK9wM8C71BNRpggIveLtXeKyCNE5+6nXu/xvCKcdWaSmMX9HHFl/NAZjeHbiVvFTwGftK+3A78HPGHHHwMePKXxPEKslDwOfCbNC3Av8DfAv9v3e05xjjbAC8Dl2bFTnR/iAvQ0MBDv9O8+aU6I4cCv2nX1BNEl6zTG8yQxF5Guo4/ac3/E3svHgU8AP3AW1/pxXwtjcMGCuxxnHQ4sWLDgjLEsAgsW3OVYFoEFC+5yLIvAggV3OZZFYMGCuxzLIrBgwV2OZRFYsOAux7IILFhwl+P/AOD8BONCEeW4AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# making 4 pictures from 1 picture\n",
    "i=0\n",
    "for batch in datagen.flow(x, batch_size=1):\n",
    "    plt.figure(i)\n",
    "    imgplot = plt.imshow(image.array_to_img(batch[0]))\n",
    "    i += 1\n",
    "    if i % 4 == 0:\n",
    "        break\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Defining a new convnet that includes dropout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_1\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "conv2d_4 (Conv2D)            (None, 148, 148, 32)      896       \n",
      "_________________________________________________________________\n",
      "max_pooling2d_4 (MaxPooling2 (None, 74, 74, 32)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_5 (Conv2D)            (None, 72, 72, 64)        18496     \n",
      "_________________________________________________________________\n",
      "max_pooling2d_5 (MaxPooling2 (None, 36, 36, 64)        0         \n",
      "_________________________________________________________________\n",
      "conv2d_6 (Conv2D)            (None, 34, 34, 128)       73856     \n",
      "_________________________________________________________________\n",
      "max_pooling2d_6 (MaxPooling2 (None, 17, 17, 128)       0         \n",
      "_________________________________________________________________\n",
      "conv2d_7 (Conv2D)            (None, 15, 15, 128)       147584    \n",
      "_________________________________________________________________\n",
      "max_pooling2d_7 (MaxPooling2 (None, 7, 7, 128)         0         \n",
      "_________________________________________________________________\n",
      "flatten_1 (Flatten)          (None, 6272)              0         \n",
      "_________________________________________________________________\n",
      "dropout (Dropout)            (None, 6272)              0         \n",
      "_________________________________________________________________\n",
      "dense_2 (Dense)              (None, 512)               3211776   \n",
      "_________________________________________________________________\n",
      "dense_3 (Dense)              (None, 1)                 513       \n",
      "=================================================================\n",
      "Total params: 3,453,121\n",
      "Trainable params: 3,453,121\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "models = tf.keras.Sequential\n",
    "layers = tf.keras.layers\n",
    "\n",
    "model1 = models([layers.Conv2D(32, (3, 3), activation='relu', input_shape=(150, 150, 3)),\n",
    "                layers.MaxPooling2D((2, 2)),\n",
    "                layers.Conv2D(64, (3, 3), activation='relu'),\n",
    "                layers.MaxPooling2D((2, 2)),\n",
    "                layers.Conv2D(128, (3, 3), activation='relu'),\n",
    "                layers.MaxPooling2D((2, 2)),\n",
    "                layers.Conv2D(128, (3, 3), activation='relu'),\n",
    "                layers.MaxPooling2D((2, 2)),\n",
    "                layers.Flatten(),\n",
    "                layers.Dropout(0.5),\n",
    "                layers.Dense(512, activation='relu'),\n",
    "                layers.Dense(1, activation='sigmoid')])\n",
    "\n",
    "model1.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras import optimizers\n",
    "\n",
    "model1.compile(optimizer=optimizers.RMSprop(lr=1e-4),\n",
    "              loss='binary_crossentropy',\n",
    "              metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Training the convnet using data-augmentation generators"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# genrating new pictures and rescaling it\n",
    "\n",
    "train_datagen = ImageDataGenerator(rescale=1./255,rotation_range=40,\n",
    "                width_shift_range=0.2,height_shift_range=0.2,\n",
    "                shear_range=0.2,zoom_range=0.2,horizontal_flip=True,)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# only rescaling\n",
    "\n",
    "test_datagen = ImageDataGenerator(rescale=1./255)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Note that the validation data shouldn’t be augmented!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 2000 images belonging to 2 classes.\n"
     ]
    }
   ],
   "source": [
    "train_generator = train_datagen.flow_from_directory(\n",
    "                  train_dir,target_size=(150, 150),\n",
    "                  batch_size=20,class_mode='binary')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 1000 images belonging to 2 classes.\n"
     ]
    }
   ],
   "source": [
    "validation_generator = test_datagen.flow_from_directory(\n",
    "                       validation_dir,target_size=(150, 150),\n",
    "                       batch_size=20,class_mode='binary')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.7003 - accuracy: 0.5200 - val_loss: 0.6944 - val_accuracy: 0.4700\n",
      "Epoch 2/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6976 - accuracy: 0.4850 - val_loss: 0.6941 - val_accuracy: 0.4820\n",
      "Epoch 3/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6922 - accuracy: 0.4850 - val_loss: 0.6937 - val_accuracy: 0.5000\n",
      "Epoch 4/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.7001 - accuracy: 0.4250 - val_loss: 0.6925 - val_accuracy: 0.5000\n",
      "Epoch 5/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6976 - accuracy: 0.4550 - val_loss: 0.6907 - val_accuracy: 0.5000\n",
      "Epoch 6/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6919 - accuracy: 0.5450 - val_loss: 0.6904 - val_accuracy: 0.5000\n",
      "Epoch 7/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6963 - accuracy: 0.5200 - val_loss: 0.6914 - val_accuracy: 0.5360\n",
      "Epoch 8/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6915 - accuracy: 0.5300 - val_loss: 0.6898 - val_accuracy: 0.5660\n",
      "Epoch 9/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6941 - accuracy: 0.5100 - val_loss: 0.6892 - val_accuracy: 0.5000\n",
      "Epoch 10/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6915 - accuracy: 0.5300 - val_loss: 0.6890 - val_accuracy: 0.5000\n",
      "Epoch 11/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6906 - accuracy: 0.5200 - val_loss: 0.6867 - val_accuracy: 0.5010\n",
      "Epoch 12/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6811 - accuracy: 0.5450 - val_loss: 0.6828 - val_accuracy: 0.5700\n",
      "Epoch 13/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6924 - accuracy: 0.5350 - val_loss: 0.6854 - val_accuracy: 0.5020\n",
      "Epoch 14/40\n",
      "10/10 [==============================] - 23s 2s/step - loss: 0.6947 - accuracy: 0.5100 - val_loss: 0.6860 - val_accuracy: 0.5600\n",
      "Epoch 15/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6899 - accuracy: 0.5500 - val_loss: 0.6830 - val_accuracy: 0.5710\n",
      "Epoch 16/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6887 - accuracy: 0.5400 - val_loss: 0.6878 - val_accuracy: 0.5390\n",
      "Epoch 17/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6874 - accuracy: 0.5500 - val_loss: 0.6800 - val_accuracy: 0.5460\n",
      "Epoch 18/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6881 - accuracy: 0.5650 - val_loss: 0.6768 - val_accuracy: 0.5870\n",
      "Epoch 19/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6910 - accuracy: 0.5300 - val_loss: 0.6756 - val_accuracy: 0.6010\n",
      "Epoch 20/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6788 - accuracy: 0.5650 - val_loss: 0.6703 - val_accuracy: 0.5910\n",
      "Epoch 21/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6758 - accuracy: 0.6150 - val_loss: 0.6711 - val_accuracy: 0.5580\n",
      "Epoch 22/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6880 - accuracy: 0.5700 - val_loss: 0.6752 - val_accuracy: 0.5340\n",
      "Epoch 23/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6865 - accuracy: 0.5400 - val_loss: 0.6677 - val_accuracy: 0.6060\n",
      "Epoch 24/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6902 - accuracy: 0.5100 - val_loss: 0.6867 - val_accuracy: 0.5090\n",
      "Epoch 25/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6717 - accuracy: 0.6200 - val_loss: 0.6642 - val_accuracy: 0.6030\n",
      "Epoch 26/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6743 - accuracy: 0.6000 - val_loss: 0.6987 - val_accuracy: 0.5280\n",
      "Epoch 27/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6868 - accuracy: 0.5300 - val_loss: 0.6661 - val_accuracy: 0.5810\n",
      "Epoch 28/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6719 - accuracy: 0.6250 - val_loss: 0.6601 - val_accuracy: 0.6070\n",
      "Epoch 29/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6561 - accuracy: 0.6650 - val_loss: 0.6555 - val_accuracy: 0.6050\n",
      "Epoch 30/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6806 - accuracy: 0.5600 - val_loss: 0.6587 - val_accuracy: 0.5810\n",
      "Epoch 31/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6530 - accuracy: 0.6350 - val_loss: 0.6561 - val_accuracy: 0.5900\n",
      "Epoch 32/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6602 - accuracy: 0.5850 - val_loss: 0.6648 - val_accuracy: 0.5750\n",
      "Epoch 33/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6811 - accuracy: 0.5700 - val_loss: 0.6521 - val_accuracy: 0.6160\n",
      "Epoch 34/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6551 - accuracy: 0.6300 - val_loss: 0.6554 - val_accuracy: 0.5990\n",
      "Epoch 35/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6729 - accuracy: 0.5850 - val_loss: 0.6511 - val_accuracy: 0.6160\n",
      "Epoch 36/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6512 - accuracy: 0.6200 - val_loss: 0.6580 - val_accuracy: 0.6050\n",
      "Epoch 37/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6820 - accuracy: 0.5850 - val_loss: 0.6561 - val_accuracy: 0.6040\n",
      "Epoch 38/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6763 - accuracy: 0.5700 - val_loss: 0.6858 - val_accuracy: 0.5300\n",
      "Epoch 39/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6600 - accuracy: 0.6150 - val_loss: 0.6656 - val_accuracy: 0.5850\n",
      "Epoch 40/40\n",
      "10/10 [==============================] - 22s 2s/step - loss: 0.6598 - accuracy: 0.6100 - val_loss: 0.6450 - val_accuracy: 0.6170\n"
     ]
    }
   ],
   "source": [
    "epochs = 40 # in book example we did 100 epochs\n",
    "history1 = model1.fit_generator(\n",
    "          train_generator,steps_per_epoch=10,\n",
    "          epochs=epochs,validation_data=validation_generator,\n",
    "          validation_steps=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "#evaluation1 = model1.evaluate_generator(test_generator,steps=None,callbacks=None,max_queue_size=10,\n",
    "#                                      workers=1,use_multiprocessing=False,verbose=0,)\n",
    "#print(\"Loss: \",evaluation1[0]*100,\"%\")\n",
    "#print(\"Accuracy: \",evaluation1[1]*100,\"%\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['loss', 'accuracy', 'val_loss', 'val_accuracy'])"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "history1.history.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotting training and validation loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "loss = history1.history['loss']\n",
    "val_loss = history1.history['val_loss']\n",
    "\n",
    "epochs = range(1, len(loss) + 1)\n",
    "\n",
    "plt.plot(epochs, loss, 'bo', label='Training loss')\n",
    "plt.plot(epochs, val_loss, 'b', label='Validation loss')\n",
    "plt.title('Training and validation loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('Loss')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotting training and validation Accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "acc = history1.history['accuracy']\n",
    "val_acc = history1.history['val_accuracy']\n",
    "\n",
    "epochs = range(1, len(acc) + 1)\n",
    "\n",
    "plt.plot(epochs, acc, 'bo', label='Training acc')\n",
    "plt.plot(epochs, val_acc, 'b', label='Validation acc')\n",
    "plt.title('Training and validation acc')\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('acc')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# saving model\n",
    "model1.save('cats_and_dogs_small_2.h5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Feature extraction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This file is still work in progress"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
